{ "cells": [ { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "import numpy as np\n", "import pandas as pd\n", "import scipy as scp\n", "import matplotlib.pyplot as plt\n", "import math\n", "import matplotlib.cm as cmx\n", "from mssm.models import *\n", "from mssm.src.python.compare import compare_CDL\n", "from mssmViz.plot import *\n", "from mssmViz.sim import *\n", "from mssmViz.extract import *\n", "import matplotlib.style as mplstyle\n", "mplstyle.use('fast')\n", "np.set_printoptions(suppress=True)\n", "\n", "nc = 10\n", "colors = [cmx.tab20(x) for x in np.linspace(0.0,min(0.1*nc,1.0),nc)]\n", "single_size = 8/2.54" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# `mssm` Tutorial\n", "\n", "With `mssm` we can estimate a broad variety of smooth models as they are also supported in `mgcv` (Wood, 2017). Terms that are available in both `mgcv` and `mssm` include regular univariate smooth terms, binary smooth terms, Tensor smooth interactions, by-factor smooth terms (ordered and not ordered), and random non-linear smooth terms. Like `mgcv`, `mssm` also supports random effects (random intercepts, random slopes, and as mentioned random smooths). By default a B-spline basis is used by `mssm` for all smooth terms and penalties are either difference (Eilers & Marx, 2010) or identity penalties (Kernel penalties, Marra & Wood (2012) are also supported).\n", "\n", "\n", "Like `mgcv`, `mssm` supports estimation of conventional Generalized additive (mixed) models. Currently, Binomial models (N >= 1), Gamma models, Inverse Gaussian, Poisson, and Gaussian models are supported! `mssm` uses sparse matrices and is thus particularly well equipped to handle models of **multi-level data, including many random effects**! `mssm` also supports estimation of GAMMs of location, scale, and shape parameters (\"GAMMLSS\"; see Rigby & Stasinopoulos, 2005) and even more general smooth models (\"GSMMs\") as defined by Wood, Pya, & Säfken (2016). \n", "\n", "`mssm` automatically figures out the right amount of penalization for all terms and all these models using a combination of the approaches discussed by Wood, Pya, & Säfken (2016), Wood & Fasiolo (2017), Wood, Shaddick, & Augustin, (2017). Alternatively, the `L-qEFS` update by Krause et al. (submitted) can be used to select the regularization/penalization parameters. This update is particularly attrative when working with general smooth models, since it only requires researchers to code up the log-likelihood and (optionally) ways to compute its gradient in order to estimate and regularize the model. Krause et al. (submitted) provides a detailed description of the different algorithms implemented in the `mssm` toolbox.\n", "\n", "In contrast, this tutorial focuses on practical application of the `mssm` toolbox. It contains:\n", "\n", "- a brief discussion of the structure your data should have\n", "- an introduction to the `Formula` class, including a conversion table if you are familiar with `mgcv` syntax and just want to get started\n", "- an extensive section of examples involving Gaussian additive models so that you can get familiar with the `Formula` class and the different terms supported by `mssm`\n", "- examples on how to estimate Generalized additive models and even more general models (i.e., GAMMLSS and GSMMs)\n", "- a section on advanced topics, focused on model selection, posterior sampling, and working with the `GSMM` class\n", "\n", "Along the way, this tutorial introduces the plot functions available in `mssmViz`, which can be used to visualize model predictions and to asses model validity via residual plots for all models estimated by `mssm`. This tutorial assumes that you are already familiar with the idea behind GAMMS (and perhaps even GAMMLSS models; Rigby & Stasinopoulos, 2005) and does not aim to provivde a thorough introduction to their theory. Instead, the aim is to quickly show you how to fit, inspect, validate, and select between these models with `mssm`. If you want to learn more about the theory behind GAMMS (and GAMMLSS models), head to the reference section at the end of the tutorial, which contains pointers to papers and books focused on GAMM & GAMMLSS models." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Data structure" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "# Import some simulated data\n", "dat = pd.read_csv('https://raw.githubusercontent.com/JoKra1/mssmViz/main/data/GAMM/sim_dat.csv')\n", "\n", "# mssm requires that the data-type for variables used as factors is 'O'=object\n", "dat = dat.astype({'series': 'O',\n", " 'cond':'O',\n", " 'sub':'O',\n", " 'series':'O'})" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Some remarks about the desired layout of the data to be usable with the GAMM class:\n", "\n", "- Data has to be provided in a `pandas.DataFrame`.\n", "- The dependent variable can contain NAs, which will be taken care of. **No NAs should be present in any of the predictor columns**!\n", "- The data-type (dtype) for numeric columns should be float or int. Categorical predictors need to have the object datatype (see code above).\n", "- No specific row/column sorting is required.\n", "\n", "**Exception to the last point:**\n", "\n", "If you want to approximate the computations for random smooth models of multi-level time-series data or want to include an \"ar1\" model of the residuals (see section on advanced topics), **the data should be ordered according to series, then time**: the ordered (increasing) time-series corresponding to the first series should make up the first X rows. The ordered time-series corresponding to the next series should make up the next Y rows, and so on. More specifically, what matters is that individual series are making up a time-ordered sub-block of dat. So you could also have a dataframe that starts with a series labeled 0, then a series labeled 115, then a series labeled X. As long as any series in the data is not interrupted by rows corresponding to any other series it will be fine." ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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ytimeseriescondsubx
07.00555800a09.817736
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" ], "text/plain": [ " y time series cond sub x\n", "0 7.005558 0 0 a 0 9.817736\n", "1 11.122316 20 0 a 0 10.262371\n", "2 4.766720 40 0 a 0 10.445887\n", "3 2.952046 60 0 a 0 8.481554\n", "4 7.463034 80 0 a 0 10.180660" ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Take a look at the data:\n", "dat.head()" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [], "source": [ "# To make sure the last point raised above is met - we can call the following.\n", "# This does not hurt, even if we do not want to rely on approximate computations or don't need an \"ar1\" model.\n", "dat = dat.sort_values(['series', 'time'], ascending=[True, True])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## The `Formula` class\n", "\n", "At the core of each model - independent of whether you want to work with GAMMs, GAMMLSS, or even GSMM - is the `Formula`. A `Formula` is used to specify the additive model of a particular parameter of the likelihood/response family of the model. With GAMMs we model a single parameter: the mean of the independent response variables. Thus we need to specify only a single `Formula`. With GAMMLSS and GSMM, we can model multiple parameters of the response variables/likelihood, and thus we will often have to specify multiple `Formula`s.\n", "\n", "Like most classes and functions implemented in `mssm`, the `Formula` class has been extensively documented, including a list of code examples. Thus, to learn more about the `Formula` class you can rely on the `help` function as follows:" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Help on class Formula in module mssm.src.python.formula:\n", "\n", "class Formula(builtins.object)\n", " | Formula(\n", " | lhs: mssm.src.python.formula.lhs,\n", " | terms: list[mssm.src.python.terms.GammTerm],\n", " | data: pandas.core.frame.DataFrame,\n", " | series_id: str | None = None,\n", " | codebook: dict | None = None,\n", " | print_warn: bool = True,\n", " | keep_cov: bool = False,\n", " | find_nested: bool = True,\n", " | file_paths: list[str] = [],\n", " | file_loading_nc: int = 1,\n", " | file_loading_kwargs: dict = {'header': 0, 'index_col': False}\n", " | ) -> None\n", " |\n", " | The formula of a regression equation.\n", " |\n", " | **Note:** The class implements multiple ``get_*`` functions to access attributes stored in instance variables. The get functions always return a copy of the\n", " | instance variable and the results are thus safe to manipulate.\n", " |\n", " | Examples::\n", " |\n", " | from mssm.models import *\n", " | from mssmViz.sim import *\n", " |\n", " | from mssm.src.python.formula import build_penalties,build_model_matrix\n", " |\n", " | # Get some data and formula\n", " | Binomdat = sim3(10000,0.1,family=Binomial(),seed=20)\n", " | formula = Formula(lhs(\"y\"),[i(),f([\"x0\"]),f([\"x1\"]),f([\"x2\"]),f([\"x3\"])],data=Binomdat)\n", " |\n", " | # Now with a tensor smooth\n", " | formula = Formula(lhs(\"y\"),[i(),f([\"x0\",\"x1\"],te=True),f([\"x2\"]),f([\"x3\"])],data=Binomdat)\n", " |\n", " | # Now with a tensor smooth anova style\n", " | formula = Formula(lhs(\"y\"),[i(),f([\"x0\"]),f([\"x1\"]),f([\"x0\",\"x1\"]),f([\"x2\"]),f([\"x3\"])],data=Binomdat)\n", " |\n", " |\n", " | ######## Stream data from file and set up custom codebook #########\n", " |\n", " | file_paths = [f'https://raw.githubusercontent.com/JoKra1/mssmViz/main/data/GAMM/sim_dat_cond_{cond}.csv' for cond in [\"a\",\"b\"]]\n", " |\n", " | # Set up specific coding for factor 'cond'\n", " | codebook = {'cond':{'a': 0, 'b': 1}}\n", " |\n", " | formula = Formula(lhs=lhs(\"y\"), # The dependent variable - here y!\n", " | terms=[i(), # The intercept, a\n", " | l([\"cond\"]), # For cond='b'\n", " | f([\"time\"],by=\"cond\"), # to-way interaction between time and cond; one smooth over time per cond level\n", " | f([\"x\"],by=\"cond\"), # to-way interaction between x and cond; one smooth over x per cond level\n", " | f([\"time\",\"x\"],by=\"cond\"), # three-way interaction\n", " | fs([\"time\"],rf=\"sub\")], # Random non-linear effect of time - one smooth per level of factor sub\n", " | data=None, # No data frame!\n", " | file_paths=file_paths, # Just a list with paths to files.\n", " | print_warn=False,\n", " | codebook=codebook)\n", " |\n", " | # Alternative:\n", " | formula = Formula(lhs=lhs(\"y\"),\n", " | terms=[i(),\n", " | l([\"cond\"]),\n", " | f([\"time\"],by=\"cond\"),\n", " | f([\"x\"],by=\"cond\"),\n", " | f([\"time\",\"x\"],by=\"cond\"),\n", " | fs([\"time\"],rf=\"sub\")],\n", " | data=None,\n", " | file_paths=file_paths,\n", " | print_warn=False,\n", " | keep_cov=True, # Keep encoded data structure in memory\n", " | codebook=codebook)\n", " |\n", " | ########## preparing for ar1 model (with resets per time-series) and data type requirements ##########\n", " |\n", " | dat = pd.read_csv('https://raw.githubusercontent.com/JoKra1/mssmViz/main/data/GAMM/sim_dat.csv')\n", " |\n", " | # mssm requires that the data-type for variables used as factors is 'O'=object\n", " | dat = dat.astype({'series': 'O',\n", " | 'cond':'O',\n", " | 'sub':'O',\n", " | 'series':'O'})\n", " |\n", " | formula = Formula(lhs=lhs(\"y\"),\n", " | terms=[i(),\n", " | l([\"cond\"]),\n", " | f([\"time\"],by=\"cond\"),\n", " | f([\"x\"],by=\"cond\"),\n", " | f([\"time\",\"x\"],by=\"cond\")],\n", " | data=dat,\n", " | print_warn=False,\n", " | series_id='series') # 'series' variable identifies individual time-series\n", " |\n", " | :param lhs: The lhs object defining the dependent variable.\n", " | :type variable: lhs\n", " | :param terms: A list of the terms which should be added to the model. See :py:mod:`mssm.src.python.terms` for info on which terms can be added.\n", " | :type terms: [GammTerm]\n", " | :param data: A pandas dataframe (with header!) of the data which should be used to estimate the model. The variable specified for ``lhs`` as well as all variables included for a ``term`` in ``terms`` need to be present in the data, otherwise the call to Formula will throw an error.\n", " | :type data: pd.DataFrame or None\n", " | :param series_id: A string identifying the individual experimental units. Usually a unique trial identifier. Only necessary if approximate derivative computations are to be utilized for random smooth terms or if you need to estimate an 'ar1' model for multiple time-series data.\n", " | :type series_id: str, optional\n", " | :param codebook: Codebook - keys should correspond to factor variable names specified in terms. Values should again be a ``dict``, with keys for each of K levels of the factor and value corresponding to an integer in {0,K}.\n", " | :type codebook: dict or None\n", " | :param print_warn: Whether warnings should be printed. Useful when fitting models from terminal. Defaults to True.\n", " | :type print_warn: bool,optional\n", " | :param keep_cov: Whether or not the internal encoding structure of all predictor variables should be created when forming :math:`\\mathbf{X}^T\\mathbf{X}` iteratively instead of forming :math:`\\mathbf{X}` directly. Can speed up estimation but increases memory footprint. Defaults to True.\n", " | :type keep_cov: bool,optional\n", " | :param find_nested: Whether or not to check for nested smooth terms. This only has an effect if you include at least one smooth term with more than two variables. Additionally, this check is often not necessary if you correctly use the ``te`` key-word of smooth terms and ensure that the marginals used to construct ti smooth terms have far fewer basis functions than the \"main effect\" univariate smooths. Thus, if you know what you're doing and you're working with large models, you might want to disable this (i.e., set to False) because this check can get quite expensive for larger models. Defaults to True.\n", " | :type find_nested: bool,optional\n", " | :param file_paths: A list of paths to .csv files from which :math:`\\mathbf{X}^T\\mathbf{X}` and :math:`\\mathbf{X}^T\\mathbf{y}` should be created iteratively. Setting this to a non-empty list will prevent fitting X as a whole. ``data`` should then be set to ``None``. Defaults to an empty list.\n", " | :type file_paths: [str],optional\n", " | :param file_loading_nc: How many cores to use to a) accumulate :math:`\\mathbf{X}` in parallel (if ``data`` is not ``None`` and ``file_paths`` is an empty list) or b) to accumulate :math:`\\mathbf{X}^T\\mathbf{X}` and :math:`\\mathbf{X}^T\\mathbf{y}` (and :math:`\\mathbf{\\eta}` during estimation) (if ``data`` is ``None`` and ``file_paths`` is a non-empty list). For case b, this should really be set to the maimum number of cores available. For a this only really speeds up accumulating :math:`\\mathbf{X}` if :math:`\\mathbf{X}` has many many columns and/or rows. Defaults to 1.\n", " | :type file_loading_nc: int,optional\n", " | :param file_loading_kwargs: Any key-word arguments to pass to pandas.read_csv when :math:`\\mathbf{X}^T\\mathbf{X}` and :math:`\\mathbf{X}^T\\mathbf{y}` should be created iteratively (if ``data`` is ``None`` and ``file_paths`` is a non-empty list). Defaults to ``{\"header\":0,\"index_col\":False}``.\n", " | :type file_loading_kwargs: dict,optional\n", " | :ivar lhs lhs: The left-hand side object of the regression formula passed to the constructor. Initialized at construction.\n", " | :ivar [GammTerm] terms: The list of terms passed to the constructor. Initialized at construction.\n", " | :ivar pd.DataFrame data: The dataframe passed to the constructor. Initialized at construction.\n", " | :ivar [int] coef_per_term: A list containing the number of coefficients corresponding to each term included in ``terms``. Initialized at construction.\n", " | :ivar [str] coef_names: A list containing a named identifier (e.g., \"Intercept\") for each coefficient estimated by the model. Initialized at construction.\n", " | :ivar int n_coef: The number of coefficients estimated by the model in total. Initialized at construction.\n", " | :ivar int unpenalized_coef: The number of un-penalized coefficients estimated by the model. Initialized at construction.\n", " | :ivar np.ndarray or None y_flat: An array, containing all values on the dependent variable (i.e., specified by ``lhs.variable``) in order of the data-frame passed to ``data``. This variable will be initialized at construction but only if ``file_paths=None``, i.e., in case :math:`\\mathbf{X}^T\\mathbf{X}` and :math:`\\mathbf{X}^T\\mathbf{y}` are **not** created iteratively.\n", " | :ivar np.ndarray or None cov_flat: An array, containing all (encoded, in case of categorical predictors) values on each predictor (each columns of ``cov_flat`` corresponds to a different predictor) variable included in any of the ``terms`` in order of the data-frame passed to ``data``. This variable will be initialized at construction but only if ``file_paths=None``, i.e., in case :math:`\\mathbf{X}^T\\mathbf{X}` and :math:`\\mathbf{X}^T\\mathbf{y}` are **not** created iteratively.\n", " | :ivar np.ndarray or None NOT_NA_flat: An array, containing an indication (as bool) for each value on the dependent variable (i.e., specified by ``lhs.variable``) whether the corresponding value is not a number (\"NA\") or not. In order of the data-frame passed to ``data``. This variable will be initialized at construction but only if ``file_paths=None``, i.e., in case :math:`\\mathbf{X}^T\\mathbf{X}` and :math:`\\mathbf{X}^T\\mathbf{y}` are **not** created iteratively.\n", " |\n", " | Methods defined here:\n", " |\n", " | __init__(\n", " | self,\n", " | lhs: mssm.src.python.formula.lhs,\n", " | terms: list[mssm.src.python.terms.GammTerm],\n", " | data: pandas.core.frame.DataFrame,\n", " | series_id: str | None = None,\n", " | codebook: dict | None = None,\n", " | print_warn: bool = True,\n", " | keep_cov: bool = False,\n", " | find_nested: bool = True,\n", " | file_paths: list[str] = [],\n", " | file_loading_nc: int = 1,\n", " | file_loading_kwargs: dict = {'header': 0, 'index_col': False}\n", " | ) -> None\n", " | Initialize self. See help(type(self)) for accurate signature.\n", " |\n", " | encode_data(self, data: pandas.core.frame.DataFrame, prediction: bool = False) -> tuple[numpy.ndarray | None, numpy.ndarray, numpy.ndarray | None, list[numpy.ndarray] | None, list[numpy.ndarray] | None, list[numpy.ndarray] | None, numpy.ndarray | None]\n", " | Encodes ``data``, which needs to be a ``pd.DataFrame`` and by default (if ``prediction==False``) builds an index\n", " | of which rows in ``data`` are NA in the column of the dependent variable described by ``self.lhs``.\n", " |\n", " | :param data: The data to encode.\n", " | :type data: pd.DataFrame\n", " | :param prediction: Whether or not a NA index and a column for the dependent variable should be generated.\n", " | :type prediction: bool, optional\n", " | :return: A tuple with 7 (optional) entries: the dependent variable described by ``self.lhs``, the encoded predictor variables as a (N,k) array (number of rows matches the number of rows of the first entry returned, the number of columns matches the number of k variables present in the formula), an indication for each row whether the dependent variable described by ``self.lhs`` is NA, like the first entry but split into a list of lists by ``self.series_id``, like the second entry but split into a list of lists by ``self.series_id``, ike the third entry but split into a list of lists by ``self.series_id``, start and end points for the splits used to split the previous three elements (identifying the start and end point of every level of ``self.series_id``).\n", " | :rtype: (np.ndarray|None, np.ndarray, np.ndarray|None, list[np.ndarray]|None, list[np.ndarray]|None, list[np.ndarray]|None, np.ndarray|None)\n", " |\n", " | get_coding_factors(self) -> dict\n", " | Get a copy of the factor coding dictionary. Keys are factor variables in the data, values are dictionaries, where the keys correspond to the encoded levels (int) of the factor and the values to their levels (str).\n", " |\n", " | get_data(self) -> pandas.core.frame.DataFrame\n", " | Get a copy of the ``data`` specified for this formula.\n", " |\n", " | get_depvar(self) -> numpy.ndarray\n", " | Get a copy of the encoded dependent variable (defined via ``self.lhs``).\n", " |\n", " | get_factor_codings(self) -> dict\n", " | Get a copy of the factor coding dictionary. Keys are factor variables in the data, values are dictionaries, where the keys correspond to the levels (str) of the factor and the values to their encoded levels (int).\n", " |\n", " | get_factor_levels(self) -> dict\n", " | Get a copy of the factor levels dictionary. Keys are factor variables in the data, values are np.arrays holding the unique levels (as str) of the corresponding factor.\n", " |\n", " | get_has_intercept(self) -> bool\n", " | Does this formula include an intercept or not.\n", " |\n", " | get_ir_smooth_term_idx(self) -> list[int]\n", " | Get a copy of the list of indices that identify impulse response terms in ``self.terms``.\n", " |\n", " | get_lhs(self) -> mssm.src.python.formula.lhs\n", " | Get a copy of the ``lhs`` specified for this formula.\n", " |\n", " | get_linear_term_idx(self) -> list[int]\n", " | Get a copy of the list of indices that identify linear terms in ``self.terms``.\n", " |\n", " | get_n_coef(self) -> int\n", " | Get the number of coefficients that are implied by the formula.\n", " |\n", " | get_notNA(self) -> numpy.ndarray\n", " | Get a copy of the encoded 'not a NA' vector for the dependent variable (defined via ``self.lhs``).\n", " |\n", " | get_random_term_idx(self) -> list[int]\n", " | Get a copy of the list of indices that identify random terms in ``self.terms``.\n", " |\n", " | get_smooth_term_idx(self) -> list[int]\n", " | Get a copy of the list of indices that identify smooth terms in ``self.terms``.\n", " |\n", " | get_subgroup_variables(self) -> list\n", " | Returns a copy of sub-group variables for factor smooths.\n", " |\n", " | get_term_names(self) -> list[str]\n", " | Returns a copy of the list with the names of the terms specified for this formula.\n", " |\n", " | get_terms(self) -> list[mssm.src.python.terms.GammTerm]\n", " | Get a copy of the ``terms`` specified for this formula.\n", " |\n", " | get_var_map(self) -> dict\n", " | Get a copy of the var map dictionary. Keys are variables in the data, values their column index in the encoded predictor matrix returned by ``self.encode_data``.\n", " |\n", " | get_var_maxs(self) -> dict\n", " | Get a copy of the var maxs dictionary. Keys are variables in the data, values are either the maximum value the variable takes on in ``self.data`` for continuous variables or ``None`` for categorical variables.\n", " |\n", " | get_var_mins(self) -> dict\n", " | Get a copy of the var mins dictionary. Keys are variables in the data, values are either the minimum value the variable takes on in ``self.data`` for continuous variables or ``None`` for categorical variables.\n", " |\n", " | get_var_mins_maxs(self) -> tuple[dict, dict]\n", " | Get a tuple containing copies of both the mins and maxs directory. See ``self.get_var_mins`` and ``self.get_var_maxs``.\n", " |\n", " | get_var_types(self) -> dict\n", " | Get a copy of the var types dictionary. Keys are variables in the data, values are either ``VarType.NUMERIC`` for continuous variables or ``VarType.FACTOR`` for categorical variables.\n", " |\n", " | has_ir_terms(self) -> bool\n", " | Does this formula include impulse response terms or not.\n", " |\n", " | ----------------------------------------------------------------------\n", " | Data descriptors defined here:\n", " |\n", " | __dict__\n", " | dictionary for instance variables\n", " |\n", " | __weakref__\n", " | list of weak references to the object\n", "\n" ] } ], "source": [ "help(Formula)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Form this output, we learn that the `Formula` has three non-optional arguments: `lhs`, `terms`, and `data`. We also learn the expected types for all these arguments. `lhs` is another `mssm` class, used to specify the particular response variable associated with a `Formula`. You can again use the `help` function, to learn more:" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Help on class lhs in module mssm.src.python.formula:\n", "\n", "class lhs(builtins.object)\n", " | lhs(variable: str, f: collections.abc.Callable = None) -> None\n", " |\n", " | The Left-hand side of a regression equation.\n", " |\n", " | See the :class:`Formula` class for examples.\n", " |\n", " | :param variable: The name of the dependent/response variable in the dataframe passed to a :class:`Formula`. Can point to continuous and categorical variables. For :class:`mssm..models.GSMM` models, the variable can also be set to any placeholder variable in the data, since not every :class:`Formula` will be associated with a particular response variable.\n", " | :type variable: str\n", " | :param f: A function that will be applied to the ``variable`` before fitting. For example: np.log(). By default no function is applied to the ``variable``.\n", " | :type f: Callable, optional\n", " |\n", " | Methods defined here:\n", " |\n", " | __init__(self, variable: str, f: collections.abc.Callable = None) -> None\n", " | Initialize self. See help(type(self)) for accurate signature.\n", " |\n", " | ----------------------------------------------------------------------\n", " | Data descriptors defined here:\n", " |\n", " | __dict__\n", " | dictionary for instance variables\n", " |\n", " | __weakref__\n", " | list of weak references to the object\n", "\n" ] } ], "source": [ "help(lhs)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Evidently, the `lhs` class can be used to specify the particular response variable we want to model (at least for GAMMs and GAMMLSS).\n", "\n", "The next argument we have to specify is `terms`. The output from `help(Formula)` tells us that this is supposed to be a list of `GammTerm` objects. The `GammTerm` class is implemented by all terms available in `mssm`. `mssm` supports intercept terms `i`, linear terms `l` (see also `li`), smooth terms (`f`), impulse response smooth terms (`irf`), random smooth terms (`fs`), random intercepts (`ri`), and random slops (`rs`). You can again use the `help` function to learn about any of these: " ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Help on class f in module mssm.src.python.terms:\n", "\n", "class f(GammTerm)\n", " | f(\n", " | variables: list,\n", " | by: str = None,\n", " | by_cont: str = None,\n", " | binary: tuple[str, str] | None = None,\n", " | id: int = None,\n", " | nk: int | list[int] = None,\n", " | te: bool = False,\n", " | rp: int = 0,\n", " | constraint: mssm.src.python.custom_types.ConstType = ,\n", " | identifiable: bool = True,\n", " | basis: collections.abc.Callable = ,\n", " | basis_kwargs: dict = {},\n", " | is_penalized: bool = True,\n", " | penalize_null: bool = False,\n", " | penalty: list[mssm.src.python.penalties.Penalty] | None = None,\n", " | pen_kwargs: list[dict] | None = None\n", " | ) -> None\n", " |\n", " | A univariate or tensor interaction smooth term. If ``variables`` only contains a\n", " | single variable :math:`x`, this term will represent a univariate :math:`f(x)` in a model:\n", " |\n", " | .. math::\n", " |\n", " | \\mu_i = a + f(x_i)\n", " |\n", " | For example, the model below in ``mgcv``:\n", " |\n", " | ::\n", " |\n", " | bam(y ~ s(x,k=10) + s(z,k=20))\n", " |\n", " | would be expressed as follows in ``mssm``:\n", " |\n", " | ::\n", " |\n", " | GAMM(Formula(lhs(\"y\"),[i(),f([\"x\"],nk=9),f([\"z\"],nk=19)]),Gaussian())\n", " |\n", " | If ``variables`` contains two variables :math:`x` and :math:`z`, then this term will either represent\n", " | the tensor interaction :math:`f(x,z)` in model:\n", " |\n", " | .. math::\n", " |\n", " | \\mu_i = a + f(x_i) + f(z_i) + f(x_i,z_i)\n", " |\n", " | or in model:\n", " |\n", " | .. math::\n", " |\n", " | \\mu_i = a + f(x_i,z_i)\n", " |\n", " | The first behavior is achieved by setting ``te=False``. In that case it is necessary\n", " | to add 'main effect' ``f`` terms for :math:`x` and :math:`y`. In other words, the behavior then mimicks\n", " | the ``ti()`` term available in ``mgcv`` (Wood, 2017). If ``te=True``, the term instead behaves like\n", " | a ``te()`` term in ``mgcv``, so no separate smooth effects for the main effects need to be included.\n", " |\n", " | For example, the model below in ``mgcv``:\n", " |\n", " | ::\n", " |\n", " | bam(y ~ te(x,z,k=10))\n", " |\n", " | would be expressed as follows in ``mssm``:\n", " |\n", " | ::\n", " |\n", " | GAMM(Formula(lhs(\"y\"),[i(),f([\"x\",\"z\"],nk=9,te=True)]),Gaussian())\n", " |\n", " | In addition, the model below in ``mgcv``:\n", " |\n", " | ::\n", " |\n", " | bam(y ~ s(x,k=10) + s(z,k=20) + ti(x,z,k=10))\n", " |\n", " | would be expressed as follows in ``mssm``:\n", " |\n", " | ::\n", " |\n", " | GAMM(Formula(lhs(\"y\"),[i(),f([\"x\"],nk=9),f([\"z\"],nk=19),f([\"x\",\"z\"],nk=9,te=False)]),Gaussian())\n", " |\n", " | By default a B-spline basis is used with ``nk=9`` basis functions (after removing identifiability\n", " | constrains). This is equivalent to ``mgcv``'s default behavior of using 10 basis functions\n", " | (before removing identifiability constrains). In case ``variables`` contains more then one variable\n", " | ``nk`` can either bet set to a single value or to a list containing the number of basis functions\n", " | that should be used to setup the spline matrix for every variable. The former implies that the same\n", " | number of coefficients should be used for all variables. Keyword arguments that change the computation of\n", " | the spline basis can be passed along via a dictionary to the ``basis_kwargs`` argument. Importantly, if\n", " | multiple variables are present and a list is passed to ``nk``, a list of dictionaries with keyword arguments\n", " | of the same length needs to be passed to ``basis_kwargs`` as well.\n", " |\n", " | Multiple penalties can be placed on every term by adding ``Penalty`` to the ``penalties``\n", " | argument. In case ``variables`` contains multiple variables a separate tensor penalty (see Wood, 2017) will\n", " | be created for every penalty included in ``penalties``. Again, key-word arguments that alter the behavior of\n", " | the penalty creation need to be passed as dictionaries to ``pen_kwargs`` for every penalty included in ``penalties``.\n", " | By default, a univariate term is penalized with a difference penalty of order 2 (Eilers & Marx, 2010).\n", " |\n", " | References:\n", " |\n", " | - Eilers, P., & Marx, B. (2010). Splines, knots, and penalties. https://doi.org/10.1002/WICS.125\n", " | - Marra, G., & Wood, S. N. (2011). Practical variable selection for generalized additive models. Computational Statistics & Data Analysis, 55(7), 2372–2387. https://doi.org/10.1016/j.csda.2011.02.004\n", " | - Wood, S. N. (2017). Generalized Additive Models: An Introduction with R, Second Edition (2nd ed.).\n", " |\n", " | :param variables: A list of the variables (strings) of which the term is a function. Need to exist in ``data`` passed to ``Formula``. Need to be continuous.\n", " | :type variables: list[str]\n", " | :param by: A string corresponding to a factor in ``data`` passed to ``Formula``. Separate f(``variables``) (and smoothness penalties) will be estimated per level of ``by``.\n", " | :type by: str, optional\n", " | :param by_cont: A string corresponding to a numerical variable in ``data`` passed to ``Formula``. The model matrix for the estimated smooth term f(``variables``) will be multiplied by the column of this variable. Can be used to estimate 'varying coefficient' models but also to set up binary smooths or to only estimate a smooth term for specific levels of a factor (i.e., what is possible for ordered factors in R & mgcv).\n", " | :type by_cont: str, optional\n", " | :param binary: A list containing two strings. The first string corresponds to a factor in ``data`` passed to ``Formula``. A separate f(``variables``) will be estimated for the level of this factor corresponding to the second string.\n", " | :type binary: [str,str], optional\n", " | :param id: Only useful in combination with specifying a ``by`` variable. If ``id`` is set to any integer the penalties placed on the separate f(``variables``) will share a single smoothness penalty.\n", " | :type id: int, optional\n", " | :param nk: Number of basis functions to use. Even if ``identifiable`` is true, this number will reflect the final number of basis functions for this term (i.e., mssm acts like you would have asked for 10 basis functions if ``nk=9`` and identifiable=True; the default).\n", " | :type nk: int or list[int], optional\n", " | :param te: For tensor interaction terms only. If set to false, the term mimics the behavior of ``ti()`` in mgcv (Wood, 2017). Otherwise, the term behaves like a ``te()`` term in mgcv - i.e., the marginal basis functions are not removed from the interaction.\n", " | :type te: bool, optional\n", " | :param rp: Experimental - will currently break for tensor smooths or in case ``by`` is provided. Whether or not to re-parameterize the term - see :func:`mssm.src.python.formula.reparam` for details. Defaults to no re-parameterization.\n", " | :type rp: int, optional\n", " | :param constraint: What kind of identifiability constraints should be absorbed by the terms (if they are to be identifiable). Either QR-based constraints (default, well-behaved), by means of column-dropping (no infill, not so well-behaved), or by means of difference re-coding (little infill, not so well behaved either).\n", " | :type constraint: mssm.src.constraints.ConstType, optional\n", " | :param identifiable: Whether or not the constant should be removed from the space of functions this term can fit. Achieved by enforcing that :math:`\\mathbf{1}^T \\mathbf{X} = 0` (:math:`\\mathbf{X}` here is the spline matrix computed for the observed data; see Wood, 2017 for details). Necessary in most cases to keep the model identifiable.\n", " | :type identifiable: bool, optional\n", " | :param basis: The basis functions to use to construct the spline matrix. By default a B-spline basis (Eilers & Marx, 2010) implemented in :func:`mssm.src.smooths.B_spline_basis`.\n", " | :type basis: Callable, optional\n", " | :param basis_kwargs: A list containing one or multiple dictionaries specifying how the basis should be computed. Consult the docstring of the function computing the basis you want. For the default B-spline basis for example see the :func:`mss.src.smooths.B_spline_basis` function. The default arguments set by any basis function, should work for most cases though.\n", " | :type basis_kwargs: dict, optional\n", " | :param is_penalized: Should the term be left unpenalized or not. There are rarely good reasons to set this to False.\n", " | :type is_penalized: bool, optional\n", " | :param penalize_null: Should a separate Null-space penalty (Marra & Wood, 2011) be placed on the term. By default, the term here will leave a linear f(`variables`) un-penalized! Thus, there is no option for the penalty to achieve f(`variables`) = 0 even if that would be supported by the data. Adding a Null-space penalty provides the penalty with that power. This can be used for model selection instead of Hypothesis testing and is the preferred way in ``mssm`` (see Marra & Wood, 2011 for details).\n", " | :type penalize_null: bool, optional\n", " | :param penalty: A list of penalty types to be placed on the term.\n", " | :type penalty: list[Penalty], optional\n", " | :param pen_kwargs: A list containing one or multiple dictionaries specifying how the penalty should be created. Consult the docstring of the :func:`Penalty.constructor` method of the specific :class:`Penalty` you want to use for details.\n", " | :type pen_kwargs: list[dict], optional\n", " |\n", " | Method resolution order:\n", " | f\n", " | GammTerm\n", " | builtins.object\n", " |\n", " | Methods defined here:\n", " |\n", " | __init__(\n", " | self,\n", " | variables: list,\n", " | by: str = None,\n", " | by_cont: str = None,\n", " | binary: tuple[str, str] | None = None,\n", " | id: int = None,\n", " | nk: int | list[int] = None,\n", " | te: bool = False,\n", " | rp: int = 0,\n", " | constraint: mssm.src.python.custom_types.ConstType = ,\n", " | identifiable: bool = True,\n", " | basis: collections.abc.Callable = ,\n", " | basis_kwargs: dict = {},\n", " | is_penalized: bool = True,\n", " | penalize_null: bool = False,\n", " | penalty: list[mssm.src.python.penalties.Penalty] | None = None,\n", " | pen_kwargs: list[dict] | None = None\n", " | ) -> None\n", " | Initialize self. See help(type(self)) for accurate signature.\n", " |\n", " | absorb_repara(self, rpidx, X, cov)\n", " | Computes all terms necessary to absorb a re-parameterization into the term and penalty matrix.\n", " |\n", " | :param rpidx: Index to specific reparam. obejct. There must be a 1 to 1 relationship between reparam. objects and the number of marginals required by this smooth (i.e., the number of variables).\n", " | :type rpidx: int\n", " | :param X: Design matrix associated with this term.\n", " | :type X: scipy.sparse.csc_array\n", " | :param cov: The covariate this term is a function of as a flattened numpy array.\n", " | :type cov: np.ndarray\n", " | :raises ValueError: If this method is called with ``rpidx`` exceeding the number of this term's RP objects (i.e., when ``rpidx > (len(self.RP) - 1)``) or if ``self.rp`` is equal to a value for which no reparameterisation is implemented.\n", " |\n", " | build_matrix(\n", " | self,\n", " | ci: int,\n", " | ti: int,\n", " | var_map: dict,\n", " | var_mins: dict,\n", " | var_maxs: dict,\n", " | factor_levels: dict,\n", " | ridx: list[int],\n", " | cov_flat: numpy.ndarray,\n", " | use_only: list[int],\n", " | tol: int = 0\n", " | ) -> tuple[list[float], list[int], list[int], int]\n", " | Builds the design/term/model matrix for this smooth term.\n", " |\n", " | References:\n", " | - Wood, S. N. (2017). Generalized Additive Models: An Introduction with R, Second Edition (2nd ed.).\n", " |\n", " | :param ci: Current column index.\n", " | :type ci: int\n", " | :param ti: Index corresponding to the position the current term (i.e., self) takes on in the list of terms of the Formula.\n", " | :type ti: int\n", " | :param var_map: Var map dictionary. Keys are variables in the data, values their column index in the encoded predictor matrix.\n", " | :type var_map: dict\n", " | :param var_mins: Var mins dictionary. Keys are variables in the data, values are either the minimum value the variable takes on for continuous variables or ``None`` for categorical variables.\n", " | :type var_mins: dict\n", " | :param var_maxs: Var maxs dictionary. Keys are variables in the data, values are either the maximum value the variable takes on in for continuous variables or ``None`` for categorical variables.\n", " | :type var_maxs: dict\n", " | :param factor_levels: Factor levels dictionary. Keys are factor variables in the data, values are np.arrays holding the unique levels (as str) of the corresponding factor.\n", " | :type factor_levels: dict\n", " | :param ridx: Array of non NAN rows in the data.\n", " | :type ridx: np.ndarray\n", " | :param cov_flat: An array, containing all (encoded, in case of categorical predictors) values on each predictor (each columns of ``cov_flat`` corresponds to a different predictor) variable included in any of the terms in order of the data-frame passed to the Formula.\n", " | :type cov_flat: np.ndarray\n", " | :param use_only: A list holding term indices for which the matrix should be formed. For terms not included in this list a zero matrix will be returned. Can be set to ``None`` so that no terms are excluded.\n", " | :type use_only: [int]\n", " | :param tol: A tolerance that can be used to prune the term matrix from values close to zero rather than absolutely zero. Defaults to strictly zero.\n", " | :type tol: int, optional\n", " | :return: matrix data, matrix row indices, matrix column indices, added columns\n", " | :rtype: tuple[list[float],list[int],list[int],int]\n", " |\n", " | build_penalty(\n", " | self,\n", " | ti: int,\n", " | penalties: list[mssm.src.python.custom_types.LambdaTerm],\n", " | cur_pen_idx: int,\n", " | penid: int,\n", " | factor_levels: dict,\n", " | col_S: int\n", " | ) -> tuple[list[mssm.src.python.custom_types.LambdaTerm], int]\n", " | Builds a penalty matrix associated with this smooth term and returns an updated ``penalties`` list including it.\n", " |\n", " | This method is implemented by most implementations of the :class:`GammTerm` class.\n", " | Two arguments need to be returned: the updated ``penalties`` list including the new penalty implemented as a :class:`LambdaTerm` and the updated ``cur_pen_idx``.\n", " | The latter simply needs to be incremented for every penalty added to ``penalties``.\n", " |\n", " | :param ti: Index corresponding to the position the current term (i.e., self) takes on in the list of terms of the Formula.\n", " | :type ti: int\n", " | :param penalties: List of previosly created penalties.\n", " | :type penalties: [LambdaTerm]\n", " | :param cur_pen_idx: Index of the last element in ``penalties``.\n", " | :type cur_pen_idx: int\n", " | :param penid: If a term is subjected to multipe penalties, then ``penid`` indexes which of those penalties is currently implemented. Otherwise can be set to zero.\n", " | :type penid: int\n", " | :param factor_levels: Factor levels dictionary. Keys are factor variables in the data, values are np.arrays holding the unique levels (as str) of the corresponding factor.\n", " | :type factor_levels: dict\n", " | :param n_coef: Number of coefficients associated with this term.\n", " | :type n_coef: int\n", " | :param col_S: Number of columns of the total penalty matrix.\n", " | :type col_S: int\n", " | :return: Updated ``penalties`` list including the new penalties implemented as a :class:`LambdaTerm` and the updated ``cur_pen_idx``\n", " | :rtype: tuple[list[LambdaTerm],int]\n", " |\n", " | get_coef_info(self, factor_levels: dict) -> tuple[int, int, list[str]]\n", " | Returns the total number of coefficients associated with this smooth term, the number of unpenalized coefficients associated with this smooth term, and a list with names for each of the coefficients associated with this smooth term.\n", " |\n", " | :param factor_levels: Factor levels dictionary. Keys are factor variables in the data, values are np.arrays holding the unique levels (as str) of the corresponding factor.\n", " | :type factor_levels: dict\n", " | :return: Number of coefficients associated with term, number of un-penalized coefficients associated with term, coef names\n", " | :rtype: tuple[int,int,list[str]]\n", " |\n", " | ----------------------------------------------------------------------\n", " | Data descriptors inherited from GammTerm:\n", " |\n", " | __dict__\n", " | dictionary for instance variables\n", " |\n", " | __weakref__\n", " | list of weak references to the object\n", "\n" ] } ], "source": [ "help(f)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Since these are a lot of terms, we provide an overview of popular formulas in `mgcv` and show how they can be represented in `mssm`. Together with the examples in the docstrings (accessible via the `help` function and [here](https://jokra1.github.io/mssm/index.html)), those presented in the later sections of this tutorial, and the overview table below you should be able to get started in no time!" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### From `mgcv` to `mssm` - Conversion table\n", "\n", "| mcgv | mssm |\n", "| -------- | ------- |\n", "| `y ~ s(x,k=10) + s(z,k=20),data=dat` | `Formula(lhs(\"y\"),[i(),f([\"x\"],nk=9),f([\"z\"],nk=19)],data=dat)` |\n", "| `y ~ cond + s(x,k=10,by=cond),data=dat` | `Formula(lhs(\"y\"),[i(),l([\"cond\"]),f([\"x\"],nk=9,by=\"cond\")],data=dat)` |\n", "| `y ~ cond + s(x,k=10,by=cond,id=1),data=dat` | `Formula(lhs(\"y\"),[i(),l([\"cond\"]),f([\"x\"],nk=9,by=\"cond\",id=1)],data=dat)` |\n", "| `y ~ te(x,z,k=10)),data=dat` | `Formula(lhs(\"y\"),[i(),f([\"x\",\"z\"],nk=9,te=True)],data=dat)` |\n", "| `y ~ s(x,k=10) + s(z,k=20) + ti(x,z,k=10),data=dat` | `Formula(lhs(\"y\"),[i(),f([\"x\"],nk=9),f([\"z\"],nk=19),f([\"x\",\"z\"],nk=9,te=False)],data=dat)` |\n", "\n", "Assuming that `cond` is a factor with two-levels (\"a\" and \"b\"), then setting up a **binary smooth** model in `mgcv` in R requires creating variable `dat$is_a <- ifelse(as.character(dat$cond)==\"a\", 1, 0)`. . In `mssm` no extra variable needs to be created (although this is also possible: `dat[\"is_a\"] = (dat[\"cond\"].values == \"a\").astype(int)`) for such a simple model (see table below). For the models below we further assume that \"sub\" identifies a categorical/factor variable, that \"cond_o\" represents an ordered version of \"cond\" in R, and that \"sub_cond\" is the interaction of the factor variables \"cond\" and \"sub\".\n", "\n", "I.e., in python:\n", "```\n", "dat[\"is_a\"] = (dat[\"cond\"].values == \"a\").astype(int)\n", "dat[\"is_b\"] = (dat[\"cond\"].values == \"b\").astype(int)\n", "dat[\"sub_cond\"] = dat[\"cond\"].values.astype(str) + \"_\" + dat[\"sub\"].values.astype(str)\n", "```\n", "\n", "| mcgv | mssm | type |\n", "| -------- | ------- | ------- |\n", "| `y ~ s(x,k=10) + s(x,by=is_a),data=dat` | `Formula(lhs(\"y\"),[i(),f([\"x\"],nk=9),f([\"x\"],binary=[\"cond\",\"a\"])],data=dat)` or
`Formula(lhs(\"y\"),[i(),f([\"x\"],nk=9),f([\"x\"],by_cont=\"is_a\",nk=10,identifiable=False)],data=dat)`| Binary smooth model |\n", "| `y ~ cond + s(x) + s(x,by=cond_o),data=dat` | `Formula(lhs(\"y\"),[i(),l([\"cond\"]),f([\"x\"]),f([\"x\"],by_cont=\"is_b\",identifiable=True)],data=dat)`| Ordered factor model |\n", "| `y ~ s(x,k=10) + s(sub,bs=\"re\"),data=dat` | `Formula(lhs(\"y\"),[i(),f([\"x\"],nk=9),ri(\"sub\")],data=dat)` | Random intercept model |\n", "| `y ~ s(x,k=10) + s(sub,bs=\"re\") + s(x,sub,bs=\"re\"),data=dat` | `Formula(lhs(\"y\"),[i(),f([\"x\"],nk=9),ri(\"sub\"),rs([\"x\"],rf=\"sub\")],data=dat)` | Random intercept + slope model |\n", "| `y ~ s(x,k=10) + s(x,sub,bs=\"fs\"),data=dat` | `Formula(lhs(\"y\"),[i(),f([\"x\"],nk=9),fs([\"x\"],rf=\"sub\")],data=dat)` | Random smooth model |\n", "| `y ~ s(x,k=10) + s(x,sub,by=cond,bs=\"fs\"),data=dat` | `Formula(lhs(\"y\"),[i(),f([\"x\"],nk=9),*[fs([\"x\"],rf=\"sub\",by_cont=c) for c in [\"is_a\",\"is_b\"]]],data=dat)` or
`Formula(lhs(\"y\"),[i(),f([\"x\"],nk=9),*[fs([\"x\"],rf=\"sub_cond\",by_subgroup=[\"cond\",c]) for c in [\"a\",\"b\"]]],data=dat)`| Random smooth per level of second factor model |\n", "\n", "\n", "**Notes**:\n", "\n", "- The difference between the binary smooth model and the ordered factor model is subtle: The binary smooth `f([\"x\"],nk=9),f([\"x\"],binary=[\"cond\",\"a\"])` includes an offset (thus the `identifiable` keyword is set to False in the alternative syntax: `f([\"x\"],by_cont=\"is_a\",nk=10,identifiable=False)`), while the ordered factor smooth `f([\"x\"],by_cont=\"is_b\",identifiable=True)` does not. Essentially, both are difference curves, but the binary smooth can take on a constant offset while the ordered factor smooth cannot. For this reason, the extra offset for level \"b\" of factor \"cond\" also has to be added back in (via `l([\"cond\"])`) for the ordered factor model.\n", "- If \"cond\" and \"cond_o\" were a factor with more than two levels, then it would be necessary to add additional ordered factor smooths for the remaining levels (i.e., `f([\"x\"],by_cont=\"is_c\",identifiable=True)`, `f([\"x\"],by_cont=\"is_d\",identifiable=True)`, ...) as well to replicate the result of the formula `y ~ cond + s(x) + s(x,by=cond_o),data=dat` in mgcv.\n", "- For the models for which alternative `mssm` options are specified, the different options are equivalent. They just allow you to pick the syntax you prefer.\n", "\n", "### Factor Variable Coding\n", "\n", "The ``Formula`` class will automatically dummy-code levels of categorical variables (alphabetically/numerically ascending): in the example here, the variable \"cond\" has two levels: \"a\" and \"b\". Internally, \"a\" will be set to the reference level (0), while \"b\" will be set to level 1.\n", "\n", "If the coding should be fixed to a specific order, a `codebook` can be provided as keyword argument to any ``Formula``. A `codebook` is a dictionary containing dictionaries as values. The keys for the `codebook` need to refer to categorical variables in the data-frame. The value for each key is itself again a dictionary with a key for every level of the categorical variable specified as key, every level should then receive as value an integer from 0-k, where k is the number of levels of the categorical variable to which this dictionary belongs.\n", "**Not all variables have to be specified**. For example, for fixing the ordering of \"cond\" but to still let the `Formula` figure out the coding for \"sub\" the following `codebook` could be used:\n", "\n", "``codebook = {'cond':{'a': 0, 'b': 1}}``\n", "\n", "You can always extract the final `codebook` used by a model by calling `formula.get_factor_codings()` - where `formula` was the `Formula` specified for the model of interest.\n", "\n", "\n", "**Important:**\n", "\n", "If only the products involving the model matrix are to be formed (see \"Very big random effect structure + MANY observations\" example in the advanced topic section), the default level ordering may not reflect an alphabetical order. To ensure that this is the case, specify the `codebook` in advance as described above.\n", "\n", "\n", "We will now work through a bunch of these formulas, using Gaussian additive models as an example, so that you can familiarize yourself with the syntax of `mssm`." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Practicing with Formulas & Estimating Additive Models" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### A single smooth model" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "In this section, we will focus exclusively on Gaussian GAMMs (or AMMs) to become familiar with the different smooth & parametric terms that we can incorporate in these models. In brief, the assumption underlying a Gaussian GAMM is that each of our $N$ observations $y_i$ is a realizations from a random variable $Y_i \\sim N(\\mu_i,\\sigma)$. We further assume that all the $Y_i$ are mutually independent! $\\mu_i$ - the mean of each RV distribution - is modeled as an additive combination of smooth functions and parametric terms (the \"additive model part\"). In contrast to $\\mu_i$ which can differ between $Y_i$, $\\sigma$ is assumed to be shared by all RVs! For a more extensive introduction, we reccomed consulting the book by Simon Wood (2017, *Generalized Additive Models: An Introduction with R*).\n", "\n", "We will now start with a simple model of the mean $\\mu_i$, incorporating only a single smooth of time! In a first step, we set up the formula. We already discussed the `lhs` and `terms` arguments above - the remaining mandatory argument `data` is fortunately self-explanatory:" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/Users/joshmac/Documents/repos/mssm/src/mssm/src/python/formula.py:640: UserWarning: 3003 y values (9.32%) are NA.\n", " warnings.warn(f\"{data.shape[0] - data[NAs_flat].shape[0]} {self.lhs.variable} values ({round((data.shape[0] - data[NAs_flat].shape[0]) / data.shape[0] * 100,ndigits=2)}%) are NA.\")\n" ] } ], "source": [ "# Build a simple Gaussian GAMM\n", "# Y_i = a + f(time) + e with e ~ N(0,sigma)\n", "formula = Formula(lhs=lhs(\"y\"), # The dependent variable - here y!\n", " terms=[i(), # The intercept, a\n", " f([\"time\"])], # The f(time) term, by default parameterized with 9 basis functions (after absorbing one for identifiability)\n", " data=dat)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "At this point, you have created a `Formula`. Now you need to set up a model. As mentioned, we are looking for a Gaussian GAMM model. GAMMs in `mssm` are implemented via the `GAMM` class. The constructor of the `GAMM` class takes as argument a `Formula` and the `Family` (distribution) of the response variables. We want a `Gaussian`. Hence, to create the model object, we write:" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [], "source": [ "# Initialize the GAMM as a Gaussian one!\n", "model = GAMM(formula,Gaussian())" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "At this point, the model has yet to be estimated. But we can already extract some information about what the model is going to do during estimation:" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Model will estimate 10 coefficients from 29217 datapoints!\n", "Terms to be estimated:\n", "Intercept\n", "f(['time'])\n" ] } ], "source": [ "# Some info about the size of this model:\n", "print(f\"Model will estimate {model.formulas[0].get_n_coef()} coefficients from {len(model.formulas[0].get_depvar()[model.formulas[0].get_notNA()])} datapoints!\")\n", "print(\"Terms to be estimated:\")\n", "model.print_parametric_terms()\n", "model.print_smooth_terms()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now, to actually fit the model you need to call the model's `fit` method. By default, this will display a progress bar. During estimation, the progress bar will tell you the distance to convergence. Once converged it should print `Converged!`. Don't worry - normally it will not require the default of 200 fitting iterations to get there! We have disabled the progress bar here, since it does not render nicely in the documentation." ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [], "source": [ "# Fit the model\n", "model.fit(progress_bar=False)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now that the model has been fitted, we can get more information about the estimated coefficients/effects." ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "f(['time']); edf: 8.723 f: 1494.827 P(F > f) = 0.000e+00 ***\n", "\n", "Note: p < 0.001: ***, p < 0.01: **, p < 0.05: *, p < 0.1: . p-values are approximate!\n" ] } ], "source": [ "# We can print a summary of the smooth terms included in the model\n", "# and the estimated degrees of freedom + optionally p-values corresponding to each:\n", "model.print_smooth_terms(p_values=True)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The single smooth term has used approximately 8.72 basis functions (of the 9 it could use) and there is strong evidence that the smooth is significantly different from zero at least at some time-point." ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "np.float64(9.723)" ] }, "execution_count": 13, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# To get the total degrees of freedom used by the model we can access the ``edf`` argument:\n", "round(model.edf,ndigits=3)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Validation of the assumptions sketched out earlier is absolutely crucial. For the additive model, the independence of $Y_1$, $Y_2$, ... $Y_N$ implies that the N-dimensional residual vector (the difference between the observed values $y_i$ and the model predictions $\\mu_i$) should look like what could be expected from drawing N independent samples from $N(0,\\sigma)$. This is best checked in residual plots as generated by the `plot_val` function available from `mssmViz`. Clearly, this model fails to meet the assumptions - we will get back to that later!!" ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [ { "data": { "image/png": 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"text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig = plt.figure(figsize=(5*single_size,single_size),layout='constrained')\n", "axs = fig.subplots(1,5,gridspec_kw={\"wspace\":0.1})\n", "plot_val(model,pred_viz=[\"time\"],axs=axs,resid_type=\"Deviance\")\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [], "source": [ "# Of course mssm offers all information visualized in the plots above as attributes/via method calls, so that\n", "# you can also make your own plots. Here some examples:\n", "\n", "coef, sigma = model.get_pars() # Coef = weights for basis functions, sigma = **variance** of residuals!\n", "pred = model.preds[0] # The model prediction for the entire data, here: a + f(Time)!\n", "mu = model.mus[0] # The predicted mean - this will be identical to pred for the additive model, but this will not be the case for generalized additive models!\n", "res = model.get_resid() # The residuals y_i - \\mu_i\n", "y = model.formulas[0].y_flat[model.formulas[0].NOT_NA_flat] # The dependent variable after NAs were removed" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Apart from validation plots, `mssmViz` also has functions to visualize the model's estimated smooth terms. Below, we print the estimated smooth of time." ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Plot partial prediction for a single smooth\n", "plot(model,fig_size=(single_size,single_size))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### A by-condition GAM" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "To get a by-factor model (s(Time,by=cond) in `mgcv`) `mssm` also provides a by keyword! As mentioned above, by default `Formula` dummy-codes factor variables in alphapetical order. Hence, for the `cond` variable \"a\" will be coded as 0, while \"b\" will be coded as 1." ] }, { "cell_type": "code", "execution_count": 17, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/Users/joshmac/Documents/repos/mssm/src/mssm/src/python/formula.py:640: UserWarning: 3003 y values (9.32%) are NA.\n", " warnings.warn(f\"{data.shape[0] - data[NAs_flat].shape[0]} {self.lhs.variable} values ({round((data.shape[0] - data[NAs_flat].shape[0]) / data.shape[0] * 100,ndigits=2)}%) are NA.\")\n" ] } ], "source": [ "# Y = a + b1*c1 + f0(time) + f1(time) + e\n", "# with e ~ N(0,sigma) and c1 == 1 if cond == \"b\" else 0\n", "# and f0() and f1() representing the smooths over time for\n", "# the first (a) and second (b) level of cond respectively.\n", "formula2 = Formula(lhs=lhs(\"y\"), # The dependent variable - here y!\n", " terms=[i(), # The intercept, a\n", " l([\"cond\"]), # One coefficient per dummy-predictor necessary for factor cond - here b\n", " f([\"time\"],by=\"cond\")], # One f(time) term for every level of cond\n", " data=dat)" ] }, { "cell_type": "code", "execution_count": 18, "metadata": {}, "outputs": [], "source": [ "# Fit the model\n", "model2 = GAMM(formula2,Gaussian())\n", "model2.fit(progress_bar=False)" ] }, { "cell_type": "code", "execution_count": 19, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "f(['time'],by=cond): a; edf: 6.881\n", "f(['time'],by=cond): b; edf: 8.714\n" ] } ], "source": [ "# Again, we print a summary of the edf. per term in the model.\n", "# Note: separate smooths were estimated for each level of \"cond\" so two edf values are printed.\n", "model2.print_smooth_terms()" ] }, { "cell_type": "code", "execution_count": 20, "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Partial prediction (using only the f(time)) for all conditions\n", "# Basically what plot(model) does in R in case model was obtained from mgcv\n", "fig = plt.figure(figsize=(2*single_size,single_size),layout='constrained')\n", "axs = fig.subplots(1,2,gridspec_kw={\"wspace\":0.1})\n", "plot(model2,axs=axs)\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "With `mssmViz` we can also look at the predicted difference in the mean between two conditions: `plot_diff` allows us to plot the predicted difference over time between conditions a and b. **Note** that `plot_diff` does by default take into account all terms included in the model, so the offset differences induced by a and b1 are taken into account!!\n", "\n", "You can again use the `help` or `print` function, to learn more about the `plot_diff` function:" ] }, { "cell_type": "code", "execution_count": 21, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Plots the expected difference (and CI around this expected difference) between two sets of predictions, evaluated for `pred_dat1` and `pred_dat2`.\n", "\n", "This function works with all GAMM models, but only supports :class:`mssm.src.python.exp_fam.GAUMLSS` and :class:`mssm.src.python.exp_fam.GAMMALS` `GAMMLSS` models.\n", "`GSMM` models are not supported at all.\n", "\n", "This function is primarily designed to visualize the expected difference between two levels of a categorical/factor variable. For example, consider the following\n", "model below, including a separate smooth of \"time\" per level of the factor \"cond\". It is often of interest to visualize *when* in time the two levels of \"cond\" differ\n", "from each other in their dependent variable. For this, the difference curve over \"time\", essentially the smooth of \"time\" for the first level subtracted from the\n", "smooth of \"time\" for the second level of factor \"cond\" (offset terms can also be accounted for, check the `use` argument), can be visualized together with a CI (Wood, 2017).\n", "This CI can provide insights into whether and *when* the two levels can be expected to be different from each other. To visualize this difference curve as well as the\n", "difference CI, this function can be used as follows::\n", "\n", " # Define & estimate model\n", " model = GAMM(Formula(lhs(\"y\"),[i(), l([\"cond\"]), f([\"time\"],by=\"cond\")],data=dat),Gaussian())\n", " model.fit()\n", "\n", " # Create prediction data, differing only in the level of factor cond\n", " time_pred = np.linspace(0,np.max(dat[\"time\"]),30)\n", " new_dat1 = pd.DataFrame({\"cond\":[\"a\" for _ in range(len(time_pred))],\n", " \"time\":time_pred})\n", "\n", " new_dat2 = pd.DataFrame({\"cond\":[\"b\" for _ in range(len(time_pred))],\n", " \"time\":time_pred})\n", "\n", " # Now visualize diff = (\\alpha_a + f_a(time)) - (\\alpha_b + f_b(time)) and the CI around diff\n", " plot_diff(pred_dat1,pred_dat2,[\"time\"],model)\n", "\n", "This is only the most basic example to illustrate the usefulness of this function. Many other options are possible. Consider for example the model below, which allows for\n", "the expected time-course to vary smoothly as a function of additional covariate \"x\" - achieved by inclusion of the tensor smooth term of \"time\" and \"x\". In addition, this\n", "model allows for the shape of the tensor smooth to differ between the levels of factor \"cond\"::\n", "\n", " model = GAMM(Formula(lhs(\"y\"),[i(), l([\"cond\"]), f([\"time\",\"x\"],by=\"cond\",te=True)],data=dat),Gaussian())\n", "\n", "For such a model, multiple predicted differences might be of interest. One option would be to look only at a single level of \"cond\" and to visualize the predicted difference\n", "in the time-course for two different values of \"x\" (perhaps two quantiles). In that case, `pred_dat1` and `pred_dat2` would have to be set up to differ only in the value of\n", "\"x\" - they should be equivalent in terms of \"time\" and \"cond\" values.\n", "\n", "Alternatively, it might be of interest to look at the predicted difference between the tensor smooth surfaces for two levels of factor \"cond\". Rather than being interested in\n", "a difference curve, this would mean we are interested in a difference *surface*. To achieve this, `pred_dat1` and `pred_dat2` would again have to be set up to differ only in the\n", "value of \"cond\" - they should be equivalent in terms of \"time\" and \"x\" values. In addition, it would be necessary to specify `tvars=[\"time\",\"x\"]`. Note that, for such difference surfaces,\n", "areas of the difference prediction for which the CI contains zero will again be visualized with low opacity if the CI is to be visualized.\n", "\n", "References:\n", " - Wood, S. N. (2017). Generalized Additive Models: An Introduction with R, Second Edition (2nd ed.).\n", " - Simpson, G. (2016). Simultaneous intervals for smooths revisited.\n", "\n", ":param pred_dat1: A pandas DataFrame containing new data for which the prediction is to be compared to the prediction obtained for `pred_dat2`. Importantly, all variables present in the data used to fit the model also need to be present in this DataFrame. Additionally, factor variables must only include levels also present in the data used to fit the model. If you want to exclude a specific factor from the difference prediction (for example the factor subject) don't include the terms that involve it in the ``use`` argument.\n", ":type pred_dat1: pandas.DataFrame\n", ":param pred_dat2: Like `pred_dat1` - ideally differing only in the level of a single factor variable or the value of a single continuous variable.\n", ":type pred_dat2: pandas.DataFrame\n", ":param tvars: List of variables to be visualized - must contain one string for difference predictions visualized as a function of a single variable, two for difference predictions visualized as a function of two variables\n", ":type tvars: [str]\n", ":param model: The estimated GAMM or GAMMLSS model for which the visualizations are to be obtained\n", ":type model: GAMM or GAMMLSS\n", ":param use: The indices corresponding to the terms that should be used to obtain the prediction or ``None`` in which case all fixed effects will be used, defaults to None\n", ":type use: [int]|None, optional\n", ":param dist_par: The index corresponding to the parameter for which to make the prediction (e.g., 0 = mean) - only necessary if a GAMMLSS model is provided, defaults to 0\n", ":type dist_par: int, optional\n", ":param ci_alpha: The alpha level to use for the standard error calculation. Specifically, 1 - (``alpha``/2) will be used to determine the critical cut-off value according to a N(0,1), defaults to 0.05\n", ":type ci_alpha: float, optional\n", ":param whole_interval: Whether or not to adjuste the point-wise CI to behave like whole-function (based on Wood, 2017; section 6.10.2 and Simpson, 2016), defaults to False\n", ":type whole_interval: bool, optional\n", ":param n_ps: How many samples to draw from the posterior in case the point-wise CI is adjusted to behave like a whole-function CI, defaults to 10000\n", ":type n_ps: int, optional\n", ":param seed: Can be used to provide a seed for the posterior sampling step in case the point-wise CI is adjusted to behave like a whole-function CI, defaults to None\n", ":type seed: int|None, optional\n", ":param cmp: string corresponding to name for a matplotlib colormap, defaults to None in which case it will be set to 'RdYlBu_r'.\n", ":type cmp: str|None, optional\n", ":param plot_exist: Whether or not an indication of the data distribution should be provided. For difference predictions visualized as a function of a single variable this will simply hide predictions outside of the data-limits. For difference predictions visualized as a function of a two variables setting this to true will result in values outside of data limits being hidden, defaults to False\n", ":type plot_exist: bool, optional\n", ":param response_scale: Whether or not predictions and CIs should be shown on the scale of the model predictions (linear scale) or on the 'response-scale' i.e., the scale of the mean, defaults to True\n", ":type response_scale: bool, optional\n", ":param ax: A ``matplotlib.axis.Axis`` on which the Figure should be drawn, defaults to None in which case an axis will be created by the function and plot.show() will be called at the end\n", ":type ax: matplotlib.axis.Axis, optional\n", ":param fig_size: Tuple holding figure size, which will be used to determine the size of the figures created if `ax=None`, defaults to (6/2.54,6/2.54)\n", ":type fig_size: tuple[float,float], optional\n", ":param ylim: Tuple holding y-limits (z-limits for 2d plots), defaults to None in which case y_limits will be inferred from the predictions made\n", ":type ylim: tuple[float,float]|None, optional\n", ":param col: A float in [0,1]. Used to get a color for univariate predictions from the chosen colormap, defaults to 0.7\n", ":type col: float, optional\n", ":param label: A label to add to the y axis for univariate predictions or to the color-bar for tensor predictions, defaults to None\n", ":type label: str|None, optional\n", ":param title: A title to add to the plot defaults to None\n", ":type title: str|None, optional\n", ":param lim_dist: The floating point distance (on normalized scale, i.e., values have to be in ``[0,1]``) at which a point is considered too far away from training data. Setting this to 0 means we visualize only points for which there is trainings data, setting this to 1 means visualizing everything. Defaults to 0.1 \n", ":type lim_dist: float, optional\n", ":raises ValueError: If a visualization is requested for more than 2 variables\n", "\n" ] } ], "source": [ "print(plot_diff.__doc__)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Thus, to visualize the predicted difference we need to set up two data-frames, one per level of \"cond\". The `plot_diff` function then figures out the rest:" ] }, { "cell_type": "code", "execution_count": 22, "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "time_pred = [t for t in range(0,max(dat[\"time\"]),20)]\n", "new_dat1 = pd.DataFrame({\"cond\":[\"a\" for _ in range(len(time_pred))],\n", " \"time\":time_pred})\n", "\n", "new_dat2 = pd.DataFrame({\"cond\":[\"b\" for _ in range(len(time_pred))],\n", " \"time\":time_pred})\n", "\n", "# Note, by default `plot_diff` excludes predictor ranges for which one of the two conditions\n", "# contains no values (time > 4000 only exists in cond b). This behavior can be changed with\n", "# the `plot_exist` keyword.\n", "fig = plt.figure(figsize=(single_size,single_size),layout='constrained')\n", "ax = fig.subplots(1,1)\n", "plot_diff(new_dat1,new_dat2,[\"time\"],model2,ax=ax)\n", "ax.axhline(0,linestyle='dashed')\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Alternatively, you can also extract the predicted difference yourself, using the model's `predict_diff` method and then create your own plot:" ] }, { "cell_type": "code", "execution_count": 23, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Text(0, 0.5, 'Predicted Difference')" ] }, "execution_count": 23, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "pred_diff,b = model2.predict_diff(new_dat1,new_dat2,use_terms=None)\n", "\n", "\n", "plt.fill([*new_dat1[\"time\"],*np.flip(new_dat1[\"time\"])],\n", " [*(pred_diff + b),*np.flip(pred_diff - b)],alpha=0.5,color='orange')\n", "plt.plot(new_dat1[\"time\"],pred_diff,color='orange')\n", "plt.xlabel(\"Time\")\n", "plt.ylabel(\"Predicted Difference\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### A binary smooth model\n", "\n", "If the difference between conditions is of interest it might be more desirable to directly fit a difference curve for specific levels of the factor of interest, rather than plotting the predicted difference. This can be beneficial in case conditions differ in the values of the predictor over which the difference is to be evaluated, because confidence intervals will often be narrower.\n", "\n", "We set up such a model below!" ] }, { "cell_type": "code", "execution_count": 24, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/Users/joshmac/Documents/repos/mssm/src/mssm/src/python/formula.py:640: UserWarning: 3003 y values (9.32%) are NA.\n", " warnings.warn(f\"{data.shape[0] - data[NAs_flat].shape[0]} {self.lhs.variable} values ({round((data.shape[0] - data[NAs_flat].shape[0]) / data.shape[0] * 100,ndigits=2)}%) are NA.\")\n" ] } ], "source": [ "formula3 = Formula(lhs=lhs(\"y\"), # The dependent variable - here y!\n", " terms=[i(), # The intercept, a\n", " f([\"time\"]), # One f(time) term - will correspond to the baseline level for condition: here let's choose b\n", " f([\"time\"],binary=[\"cond\",\"a\"])], # Another f(time), this one models the difference over time from the other f(time) term for cond=a!\n", " data=dat)" ] }, { "cell_type": "code", "execution_count": 25, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "f(['time']); edf: 8.72\n", "f(['time'],by=a); edf: 6.693\n" ] } ], "source": [ "# Fit the model\n", "model3 = GAMM(formula3,Gaussian())\n", "model3.fit(progress_bar=False)\n", "model3.print_smooth_terms()" ] }, { "cell_type": "code", "execution_count": 26, "metadata": {}, "outputs": [ { "data": { "image/png": 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QtlQjg/LSqG5wE06gK0cJjEKIXtPs8GLUt9dg7LSdAYDXHyLDauKq80opzk2lutFNOJIYm5ZKYBRC9IpQOIK9LYDJoO1UgxHS22sw+gJhinJSyUo3c+W5pRRkp1DT2EYkAYKjBEYhRK9weYOxjHTH1aLNakLXqQbjgAxL7L9XnltKboaF6sY24r3dvQRGIUSvcHk65jDqOiVeoleLwVAEnVZDVvqh+Yz5WSlccW4p2elmmh2+uPS5gwRGIUSvcHkChMIKvU5z2FJArz+ExaQnO93c5T1FOalccW4pA3OtsYrf8SDTdYQQvcLlCYImOlXnSBnpnHTzESd6l+Raufr8wej18btuk8AohOgVrS4/GiDQuQZje2D0B8IUDbDGJnp3VzTAerq6eURyKy2E6BXNTl+X8cVUsz5WTCKiYIDNfKy3x5UERiFEjwuHI9jb/BgNWlrbDl/xotdpyJbAKIToT1zeIP5AdKpO9/HFjsRLVgJX2JHAKITocS5PEH8o0j6HMbpeuvOKF1uqEavFEM8uHpMERiFEj3N5goTCEbRacLRFA2NGx1SdQJiBOalHTbwkAgmMQoge5/JGg6HHFyKiomXHUi3RSTBKQU77ipdEJYFRCNHj7O1XiQ53EIC0FANajYZQuD3xkp64iRc4xXmMe/bsYcWKFWzbtg2Hw0FaWhqFhYWcd955nHXWWWi1EneF6I8OOryYDFpa2wNkR+EIj6898ZKeuIkXOMnAuGrVKhYuXEheXh7l5eVcd9112Gw2vF4vzc3NfPbZZzzzzDNMmDCBO++8E50ucfePFUL0rHA4gt0VwGjQ4Wzf48WWEg2M3kCYzDQTaQmceIGTCIwLFy7EZrPxzDPPHLXNRRddBMDOnTv5/e9/z7//+7+Tmpp60p0UQiSPNl8IfzB6ZdgRGNNTo4HQ6w8xtjQroRMvcBKBccaMGeTl5R1X22HDhvGzn/2MlpYWCYxC9BPRDbAi2FK1sTHGjltpFORmJnbiBU4i+dI9KIZCIbxeb+znqqqqrh+g1ZKTk3OS3RNCJBuXJ0goFCGiFP5gGID0FGP79B1Nwo8vQg9kpR988EEeffRRtm7dCkBzczMfffTRKXdMCJGcXJ4AaNqr6wApJj0GvRavP0TKEUqNJaJTDowTJkzgV7/6FStXrgRg8uTJ7N+//5Q7JoRITo72ccXu44sef5j0VGPCJ16gBwJjZWUle/fuJTs7uyf6I4RIcgcdPowGLU5P1/FFnz9MYYKveOlwyvUY77vvPi6//HL8fj/r1q1Dr9cTDod7om9CiCQTjkR3AzTpdbErx46pOkopchN8xUuHUw6M2dnZrFq1iqVLl7Jt2zZGjRrF5Zdf3hN9E0IkGbc3iC8QxmzUdbqVPpR4yU6CxAv00JJAnU7HFVdcwY9+9CMaGhpobW3ticMKIZKMyxMgEAxj0GlweTtupQ1JlXiBHgiML7zwAldeeSX3338/69evZ86cOfzzn//sib4JIZKM0xskGI7gD4ZRCvQ6DSkmPV5/mLRUA2kpiZ94gR4IjPv27ePhhx9m0qRJPPPMMwwbNoyPP/64J/omhEgyLk8QDRxKvKQY0Wg0eP1hipIk8QI9MMY4aNAgxo0bx7hx47jhhhtQSiXNyQshepbDHUCpw6fqJFPiBXrginHYsGE8/PDD1NXVAZzWoLh9+3Yuvvhi8vLyMJvNlJWV8ctf/pJgMNilnd1uZ968eRQUFGAymRg+fDhLly495rE3bdrE1KlTMZvNFBcX8+ijj3Z5/aKLLkKj0Rz2mDlzZo+fpxDJorl9qo7D0x4YUzonXpJjfBF64Irx8ccfx2KxMGvWLBwOB+Xl5cyYMYPrr7++J/p3TAaDgVtuuYVJkyaRkZHBxo0b+eEPf0gkEuG3v/0tAIFAgH/7t38jNzeXV199laKiIvbt20dGRsZRj+t0Orn00kuZNm0aTz31FJs3b+b73/8+GRkZ3H777QC8/vrrBAKB2Huam5uZMGEC1157ba+esxCJKhJRtLTvDOhsXyNtSzUe2uOlPwXGmTNncvPNNwPg8XioqKhgy5Ytp9yx41FWVkZZWVns50GDBrFixQo+/fTT2HPPPfccLS0tfP755xgM0cv60tLSYx530aJFBAIBnnvuOYxGI2PGjGHDhg386U9/igXGrKysLu9ZvHgxKSkpEhhFv+X2RafqGA2aLlN1vP4wtlQj6UmSeIEeuJXOzMykvr4egJSUFC655BL+/d///ZQ7djJ27drFe++9x4UXXhh77s0332TKlCnMmzePvLw8xo4dy29/+9tjTkKvqKjgggsuwGg0xp6bPn0627dvP+pUpGeffZbrr7/+mFWE/H4/Tqezy0OIvsLpCUaz0WgIhCJAtHK3NxCiIDslqXIPpxwY33//fcaOHcucOXP429/+FismcTqde+65mM1mhg0bxtSpU/l//+//xV7bs2cPr776KuFwmKVLl/Lggw/yxz/+kf/6r/866vHq6+sPqyLU8XPHPwKdrV27lsrKSn7wgx8cs58LFizAZrPFHsXFxSdymkIkNJcnQDAUwecPAZBq1qPXaVEKBiRR4gV6KPlSXV3N3Llzqa+v55577mHq1Kk90bfj9s9//pMvv/ySF198kXfeeYc//OEPsdcikQi5ubk8/fTTnHnmmVx33XX84he/4Kmnnuqxz3/22WcZN24cZ5999jHbzZ8/H4fDEXvU1NT0WB+EiDeXJwiaQ1N1bKlGIkoBh3YITBanPMZ4/fXX88Ybb3DVVVfFKnefbh1XXqNHjyYcDnP77bfz05/+FJ1OR0FBAQaDocv2CqNGjaK+vp5AINDldrlDfn4+DQ0NXZ7r+Dk/P7/L8263m8WLF3e5Sj0ak8mEyZRcvyBH4wuEaWz1UN/qZVxZFhbjKf8qiSR3eFUdI4FgGJNBhy318L9nieykrhgfe+yxWHHa3NxcbrjhBlJTU3E6nTz33HNxXRIYiUQIBoNEItExjvPOO49du3bFfgbYsWMHBQUFRwyKAFOmTOGTTz7pMu1n2bJljBgxgszMzC5tX3nlFfx+P9/73vd64WwSRyAUZv/BNtZtb+T1T/fwv299zRNvVPLs0q2s3HAg3t0TCaDZ6cOo7zxVxxBbN51sV4wnFRh1Oh0OhwOA733ve4wdO5Zbb72ViooKbr75ZhYvXtyjnTyaRYsW8fLLL7N161b27NnDyy+/zPz587nuuutiGeg777yTlpYW7rnnHnbs2ME777zDb3/7W+bNmxc7zhNPPMEll1wS+/nGG2/EaDRy22238fXXX/PPf/6T//mf/+EnP/nJYX149tlnmTVrVp8uu7ZueyN/e2sLz7+7jb+/v4Mln1bxwbr9bNjVTFWdi+fe3caBZne8uyniKDpVx99lqk56qhFfIEyG1YTZmFwb4p3U/c/dd98d+/+pU6fy/PPPs3btWhYtWsS9997LlClTuPPOO3usk0ej1+v53e9+x44dO1BKMWjQIO666y7uu+++WJvi4mLef/997rvvPsaPH09RURH33HMPP//5z2Ntmpqa2L17d+xnm83GBx98wLx58zjzzDPJycnhoYceik3V6bB9+3ZWrVrFBx980OvnGi9KKd5dU83mqpbYqoYOBp2WcCSCvS3AM29v5Rffm4ROJ1vm9kduXxBvIIRep8HtPTTG2NjqIz8J9njpTqNU51/1E+fxeFi6dCkzZsyQDa9OkNPpxGaz4XA4SE9Pj3d3jmh3rYMf//endPySpJr1ZFiNZKebGZRnpbbJw5c7m9BpNfzi5kmcP7Ygrv0V8VHb5Obv72/HoNfywbr9GPRavntRGfsa2phxdglnjcyNdxdPyCmPmGu1Wr7zne/0RF9EAvp44wEUYDHpGF2aSUFWKsMH2hhSaKM418pBu5f7/vIZTk+Q55ZuY3xZNukpyTXQLk6ds32qTigcHctPTzGgFGjQJN34IpzkGGNzczMHDx4E4M9//nOX5x9//HFqa2t7pnci7tZtawRgZEkGcy4dwQ9njuKys0sYNtCG2aijONfKdy4cAsD+g25eWr6TU7wJEUnI5Q4cNlXHFwxjMmrJsCbfP5QnFRg3b97MzJkzmTBhAu+88w7/93//x+7du8nOzubuu+/u02Nu/Ynd5ae6oQ2ASycXM7IkE4vp8JuMq84rZfhAGwDvrK5mR439dHZTJIDWtgAaNDg9h6bq+ANhzEY9tv4SGC+66CLWrl3LqlWrKC4uZseOHdx2222UlpZyxRVX8O677/Z0P0UcrNx0gFBEYTJoOXdM/lHbWUx6fnTFaEwGLb5AmKfe2kIgKPv+9CcHHd5oVR33oao6vkCI7HQTRn1yZaThBMcYfT4fZvOhChlpaWnMnj2bq6++GoBgMMjmzZu7FHbo/h6RPCq+jk5qH1JkO+KVYmdjB2cxbfJA3qmoZsveVpauqWbW+YNPRzdFnIXCEewuP0a9Bpf70HYG9rYAeZkpce7dyTmhK0an08mf/vQnXC5X7LmOoAjRMmAdJcAAvvjiC1566aWe6ak4rQLBMNuq7QCcM+qbM4oajYY5l44gPysFBby0fBcNrZ7e7aRICC5PtKqOUhAMR9BoiG1hkJWWfIkXOMErxtzcXG6//XZ+//vf4/F4mDp1KhMnTiQnJweTyYTD4aC2tpbPP/+cTZs2cfHFFzN37tze6rvoRV/ubMLjD6HVwMUTi47rPRlWE9+fMYLfvbSB1jY/z76zlfk3TUqqqirixDk9AfzBMNr2P2ar2QAKtJrkzEjDSUzXsVqt/OY3v6GpqYkPPviARx55hLq6OjweD9nZ2QwdOpSLL76Y2267rcv6ZJFcVm6MLvMrzEk9oduhqeMK+OjLWlZvbWRVZT1VdS7KChNzjqboGU53gFBEEQhEx5XT2zPS0aWAyZd4gZOcx3j77bdz9dVXc+ONN3L99dej1cpqh75EKcWm3c0ATBqWc0Lv1em03H7laCr3ttLmDfLyit08cOPE3uimSBDO7htgpUbXSFtM+qQrHtHhpCJaZmYmI0aMAOCPf/xjj3ZIxN/eehcHHT4ALjrj+G6jOxuYY+WiCYUArN7SEJvCIfqmZqcPrfbQVB1b+xrpHJs5aZeIntQV47nnnsuMGTPIzc1Fr9eTkZHB6NGjGTNmzDH3UhHJ4aOvohP0balGRg3K/IbWR/bdbw3h/S9q8PhDvF2xjxsvGdaTXRQJpMnhw2TQHSo3lmLE4w+Rl4RrpDucVDi/6qqr2LZtGwsXLiQvL4/Gxkb+8pe/cPHFFzNkyBBmzpzJ7373O7Zt29bT/RWnwRfbo6tdxg3OQqc9ucRJfmYK44dE98V5b20N4XDkG94hkpEvEMblDqDXgtsXrdydnmoEBZlJmpGGU1wrXVZWxn333delcnU4HGbHjh1s3ryZF154gZycHH7605+eckfF6WFv81NdH13tcv64o0/qPh5XTy1j/Y4m6ls8rNnawLlSYKLP6chIq/YyIyaDFr1Og06XvBlp6IGtDbqX89fpdIwaNYrvfve7bN68GbvdfqofIU6jTzbVxVa7TDnGapfjMWn4AIpyohWXXvu0StZQ90EudzQwev3tGekUY9IWp+2sV0dGH3zwQa677rre/AjRwyq+jm72NfQ4Vrt8E51Ww4zy6LYTW/e1UtPYdsr9E4nF6QmiAJe3a3HaFLOBNEvybJfaXa8GxvLycsaOHdubHyF6UDAUZus+OwDlo/KO3fg4zTi7hFSznlBY8crKPT1yTJE4HG4/KHC0dc5Ih8jNsKA9yfHpRJCcuXTRK7qsdjmjsEeOmZZiZMqYaJD9rLKeNpm606ccdPjQ6w8Vj8iwGgmFFLkZyV0fQQKjiOmy2iWr5xb/X3PBEHRaDW3eIO99IVvG9hVKKZodPgy6zuXGorfPmWkSGEUfoJRiY2y1y4AePXZZQRrDi6P1GpeuqY5VeRbJze0L4fGHCIYiKAUGvRaDToten5zFaTuTwCgAqG5s46A9utrl4ok9cxvdQaPRMOu8aAmy/QfdfLnjYI8eX8SHsz0j7WuvvWlLNeIPRpI+Iw0SGEW7zzZHs9G2VCOjSk5utcuxnDcunwHt404ydadvcHoCBIMR2rxdtzOwWgykmk95O6m4ksAoAPh6bwsAY0ozeyWbaNTr+FZ7+bLKqhZqDsrUnWTn9ATRaOiSePEFwuRnpiR9qTkJjAKI3uICjC7t+avFDledV4rZqCMYivCaTN1JenaXH0WnqTpWI5Gwit0ZJDMJjAKlFE3O6Pji2NKsXvucHJslVsZsVWU9TQ5vr32W6H2NDi8GnSY2udvWvm1uso8vggRGATQ7/QRD0UxxbxeVvebCMrRaDS5PkCWfVvXqZ4neE27f5yUYPpSR1mk1GA3Jn5EGCYwC2F7TCoDVrMds7N1B89GDshhVkgHAsvX7aXX5evXzRO9weqP7vPgD3TPSerliFH3DrlonQI9O6j4anVbD9RcPRaMBe1uAtyuqe/0zRc/rKB7hbi8eEU28hEhPNWI2Jv+WJhIYBfsaors+FudaT8vnTRo+gGFF0Qnf766tjk33EMnD6QkSjihc7k5rpINh8rMsSZ+RBgmMAmJVb0rz007L5xn0Wr570RA0RKs/v7tm32n5XNFzHO4AKLB3mqqjFOSkJ39GGiQwCqDRHs0Od1zFnQ7njMmLBeK3Pt+Hp736s0gOLS4faKCtfQOstD6UkQYJjP2e2xuMFRkdPjDjtH2uUa/jOxeWAVDf6mX5l/tP22eLU3fQ7iMUjqAAo16LVgMmQ/IvBewggbGf21nrAMBs1GE7zdMspo4vZOCAaIXvJauq8LVnOEVi8wfDuDyBQxlpqxFfMILFpCcjLfmn6oAExn5v5/5oYMyxnf6xIbNRx+zzDxWX+GTTgdPeB3HiOopHePzR4Q9bqhGfP8QAmxmjPvkz0iCBsd+rqotO1SkecHoy0t1NO3Mg+VnRbTZfXbmHQEiuGhOd0x29WuzYFTDDaiQQjFDYvr9PXyCBsZ+rbs9ID8o7PRnp7iwmPVedWwrA3noXa75uiEs/xPFzeoIodah4RHqKETSQlcTbpXYngbGfq2/xADCkl5cCHstlZ5cwoP1W/qWPd+EPylVjInO4/USUimWkU8x6DDqtBEbRNwRDEVztv9wjSk7fVJ3uUi0Gvn1OCQC7DzhZvl4y1Ims2eHDHzyUkUZFr/yz+sgcRpDA2K9V1TtRgF6nIS+z95cDHsvlUwaRlWZCKVj04U4ONEm9xkSklOKgwxcbC45mpMNkWk2nvN1uIpHA2I/tqIlmpDOtprgv47Klmrj2wjI0mujOc8+/t132hklAHl8Irz+Erz0jndG+j3RhTnz/Ye1pEhj7sT3tGemiAYmRTZx+dgljBkUL5X5WWc+nm+ri3CPRncMdwBc8lJG2WU2gorU2+xIJjP1YdXvxiHhlpLuzWgz88PJRWC16QmHFwve20+yUsmSJpGOfF2fHUkCLHq1WQ2YfSryABMZ+rbYpup1BWUH8MtLdjSzJZPb5ZWiAuhYPC9/bTiQiG2clCqcnGM1It1dEMhp0pJj0fSojDRIY+61IRGFv36tjZHvh2ESg0Wi4eurgWJ8++qqWdTsa49spEdPs8MXW1psMWiJKYU0xkJZiiHPPepYExn6qrsVDOKLQaKDkNNVhPF6pFgN3XDmGFLOeYCjC029txeUJxLtb/V44oqhubCMU7lS1OxCmMDv5dwXsTgJjP7W9OrqdQXqKEZ0u8X4NRpZkMPv8UiC6Ouf/lu2QvajjzO7yt6+Tjs4WsFlNRBTkZvStxAtIYOy3dh+IZqQLsxNzmoVGo+E7Fw5hRHF7pe811Wzc3RznXvVvjQ4v3kAIty86vpieYkCDhsy0vjOxu4MExn5qX0N0AnVJXmLdRneWajbw46vGYjHp8AcjPP76ZvYflInf8dLQ4m1fIx0NjBaTDrNRR1Z630q8gATGfqumPcAMTqCM9JFEb6kPlSb70yubZApPHCilqGlsw6AnlpE26HWkmPVkpPaNGoydSWDsp5od0eAyvCgjvh35BhqNhusuHsqZw3MAqKxq4a9vVOKWDbROK7cvRJPDS8diJJNBh1KK/CxLQo5Rn6q+d0bdKKV46KGHKCgowGKxMG3aNHbu3HnM9yxYsICzzjqLtLQ0cnNzmTVrFtu3bz+sXUVFBd/61rdITU0lPT2dCy64AK/X21un0mNanD4Coehv+JCixL5ihGiBgnuuGU9ZQXQi+qrKeha+v52AVOE5bQ7avbh9IQKxxIuRUEiRH+c19r2lzwfGRx99lMcff5ynnnqKNWvWkJqayvTp0/H5jn47tnLlSubNm8fq1atZtmwZwWCQSy+9FLfbHWtTUVHBZZddxqWXXsratWv54osvuOuuu9BqE/8r3VFjByDVrE+ahf/5WSn89LtnkJthRil4Z/U+XvtkD2FZT31aHLR7iUQUrvYrdVv77XNfqqjTWXL8rThJSin++7//m1/+8pdcddVVAPz9738nLy+PN954g+uvv/6I73vvvfe6/Lxw4UJyc3NZv349F1xwAQD33Xcfd999Nw888ECs3YgRI3rpTHrWrvaMdF5mck2zGDbQxr/PHsujizfi8gZZ/NEuMtNNTJ9c3Ofm0SWa/Qfd6HQaHG1+AKxmPSajrs8tBeyQ+Jc3p6Cqqor6+nqmTZsWe85ms1FeXk5FRcVxH8fhiFahycrKAqCxsZE1a9aQm5vLueeeS15eHhdeeCGrVq065nH8fj9Op7PLIx721kfXSBcn2MTu43H2qDzmzhiJyaDFGwjz7DvbWLtVVsb0pkAoTG2zmxSzPla122TUYTHq+txSwA59OjDW19cDkJeX1+X5vLy82GvfJBKJcO+993LeeecxduxYAPbs2QPAr3/9a374wx/y3nvvMWnSJC655JJjjl8uWLAAm80WexQXF5/MaZ2yeG9ncCo0Gg0zzi7mOxeWodNqcLgDPPFGJeu2N8oE8F7S7PDh9gYx6nW0eaNVdfRaDTk2C0ZD39j8qrs+FRgXLVqE1WqNPYLBU89czps3j8rKShYvXhx7LhKJjmv96Ec/Yu7cuUycOJHHHnuMESNG8Nxzzx31WPPnz8fhcMQeNTU1p9y/k9HYGk0QDRsYv6rdp0Kn0/Ldi4fyb5MHogEaWr08saSSii31Ehx7QaPdiz8YweGO3kanWQyg0VCQoIsDekKfGmO88sorKS8vj/3s90f/IBsaGigoKIg939DQwBlnnPGNx7vrrrt4++23+eSTTxg4cGDs+Y5jjR49ukv7UaNGUV1dfdTjmUwmTKb43np4fMHYtpcjBmbEtS+nwmLUc9u3R9Hq8rNmayMHmj08+a8tBIIRpo4vRKeVMceeUt/ijRYQtkcTlgMyzKAgu48mXqCPXTGmpaUxdOjQ2GP06NHk5+ezfPnyWBun08maNWuYMmXKUY+jlOKuu+5iyZIlfPTRRwwePLjL66WlpRQWFh42hWfHjh0MGjSoZ0+qh+2qjY5rmgxaMpJ8fMiWauTHs8YyuX2OY0Orl7+9s5WP1u+X6t89JBJRVDe6SDHpY3ca2elm9Hptn1zx0qFPBcbuNBoN9957L//1X//Fm2++yebNm7nlllsoLCxk1qxZsXaXXHIJTzzxROznefPm8Y9//IMXX3yRtLQ06uvrqa+vj81R1Gg03H///Tz++OO8+uqr7Nq1iwcffJBt27Zx2223ne7TPCE79tuBvvOvfUFWCvNmjWXyiAFoiF7VPP/+dt5dWyN7VPcAe5sfR1sAo0EbW3GUlmrA0ocz0tDHbqWP5Gc/+xlut5vbb78du93O+eefz3vvvYfZfCgw7N69m6amptjPTz75JAAXXXRRl2M9//zz3HrrrQDce++9+Hw+7rvvPlpaWpgwYQLLli1jyJAhvX5OpyKZM9JHUzTAyp1XjuF/3/qaL7YfpMnhY9GHOwiGQny7vBSzsW8mCE6Hg+31F8PhCBEFKSY9GiDDaiIlSebAngyNktHquHE6ndhsNhwOB+npp2cFyt1/XsW2ajvfvXgIP/j2qNPymadLdYOLv729hbXbD6IUZFqNXHNBGVecW5o0E9kTzSebDrBiwwGc7gCb9rRQmm9l4AAr5aPymH5WfGZVnA59+lZaHK6u2QPAkAQvHnEySvLS+MHlozl7ZC5aDbS2BXj1kz3867MqvO0JJ3FiahrbMOq1NNqjw0i5GZb2za/6xlDM0Uhg7EdC4QjO9krYIxJoO4OeNCgvje9/eyRnjcxFq9Vgbwvw2idVvLFqDx6fBMcT4fYFOWj3YTHqYxnp7HQzWq2mz07s7iCBMcEdtHv5vLJn5uftqXOiFOi0Ggqy+u4ctMH56cy9bCRnjxyAtn0S+GufVLHk0z2xIqvimx20+3D7gviCYcIRhcmgxWjQYjHp+uwa6Q4SGBPchl3NbN3Xiq8HKslsq7YDkJ1u6vNri8sK05kzfSTlo3LRaTU4PUFeX1XFayv3SMmy43TQ7iUUVrS4oleLuRkWfIEwVoshOsm7D5PAmODSUgz4Q2Fc7lP/y7yrNrrmuy9lpI9lSGE6t142gilj8tBpNbg8Qd74bC+vrNwdK7Yqjq62KVo4omP+Ym6mBa8/TEFWKto+PoFeAmOCS7MY8AfDPbJLXsdUncH5fS/xcjSD89O5dfoIzh+Xj16noc0b5F+f7eXljyU4HkswFKG2yU2KUUdjpxUvkYiiMKfvDsN0kMCY4N78fC+fVzawrX1i9qk40BStJ5msa6RPVkleGnOmj2DquAL0Og1uX4i3Kvby6srdMuZ4FM1OH23eIMFwhGAogkGnJdVswKDXkt+Hx6c7yOSuBFfd2IbDHWBvneuUjuMPhHB6okFgdGlmT3QtqQwcYGXO9BFotRo+2VSH2xfiX5/tRa/TcM0FQ2SeYzeNdi++YBh/+zSnnAwzHn8Ia4qhT26X2p1cMSa4jmKy+w+6v6Hlse1oH1806LX94hf7SApzUrll+gguOqMQg06L2xfi9U+r+NdnVfgCsnyws4YWDxpF7DY6L9OC2xukJDetz5Ya60wCY4Ib0B7EGls9pzRlZ9s+e/R4NnOfz0gfS0FWCnMujQbH6JhjiFdW7OGtiirZQ6adUop9jW2YTbrYxO4BGWbCESgekBrn3p0eEhgTXG77FaPDHTilKTu727czKOknGeljyc20cMv04VzQXp7M5Q3yz493887qfQRDUpXH3hbA4fKjFPgCYbRaDVaLEZNBS14/GF8ECYwJLzcjOpHW7QvhdJ98ZnpfQ3SMsrQPLgU8GXmZKcy5bARTxxdE5zm6g7y0fBfvrq3u9yXL9tQ5afOFYjMhcmxmvP4QaSnGfjMMI4ExwRXlpKIBwhFFTePJjzPWt0TXSA/vZxnpYynISmHuZSM4b2xedPmgO8CiD3fywRfV/fbKMRxRfF3VgtGg5WD73uN5GRbc3hAleVYM+v4RMvrHWSax7HRLLGO6t/7kNs9ye4O429cJjx7U/zLSx1KQncrcGaOYMrq98ITLz/8t28m7a6v7ZT3H2iY3tc1ustJMsYndAzLMRJRi4ID+MwwjgTHBpacYSEuJLr+qad/E6kRtrW4FwGzs+2tcT0ZRTirfnzGK8tF5aDTQ7PTz0vJdLF1djb+fJWR21LQSCEYIRxRuXwiNJrr6ymTQ9Yv5ix0kMCY4nU4bK/FU23Ryt9Ida6T7y/jQySjOtXLbjGhVnmhw9PHyit28VbEXb6B/VOVx+4Js2WcnPdUQy0ZnpZnwBcLYUg0M6OOlxjqTwJgEinKiUyQa7b6TmrJTVdeekc7rP7dCJ6MkL43bvj2SSUNz0ABNDh9LPq3i7c/39ouSZbsPOLG3+cmwGrusj/b4QgzKT0Ov6z/hov+caRIblB/d/9npDuAPnnhSoGMf6cH5ybeP9Ok2OD+dW2eMZPyQrNgeMv/6bB9vfl7Vp6vyKBVNuui0GnRa7aHAmGEhog7949xfSGBMAmXtU2w8/hAt7RsSnYiG9l/y4X20OG1PG1Gcwc2XjogtnWy0e3lndTVLVlXhOIUpU4msvtVLzcE2stJMeP2Hlo+mpUQ3vupP44sggTEpFA9Ije2TvKfuxDLTrS5fbLnbqBLJSB+vcYOzuOGSoYwszgCi/7gsW1fDayt3x8bf+pKdNXY8vjApZj0H288vw2okGIqQnmokp58l7SQwJoEMqwlre2HQjtJhx2vLvmhGOsWkJz3F2ON966s0Gg1njcjlOxeVxaoR1bV4WbmpjldX7o4NT/QF/mCYr/e2kJaiR6PRUNsUnfOam2nB7QsxOD8NXT8aXwQJjEnBaDi0h+/+gyf2F3J7e0a6v90K9QSNRsN5YwuYfX4pQwujwxl1zR5Wb2ng9U92s619GlSy21PnpMnpIzPNhD8Yjv3jW5JrBRUtvtHfSK2lJFGQncLeehcH2nf5O15VHb/kkpE+KTqthovOKMIXDPPu6hp21jqob/GyfkcT/mAEty/EpGE5SVuYQynF1r2tgAa9Tsv26hbCEUVmmgmrJRoe+uM/qhIYk0TxgFQqiE4hOREdk8L74napp4tep+XSM4sJhRQaDeysddDQ6kWpZgKhCG5fkPPGFsTGgZNJs9NHVZ2TTKuRSESxfX+0PN3Ikgw8vjAZVlO/XBQggTFJlLZvR+B0B/AFwpiN31wTTykVC6R9dbvU08Vo0HHZ2SVElEKr1bCjxkGj3UdEtRIOh2nzhvjWxKLj+nNJJDv3O3B5g+RkmKlubMPjC2Ey6CjNs1Jz0M2EIdlJGfBPlQTGJDGkKBoYA6EIdc1uBh/HFWBDq5dAezGEEe3ZVXHyzEYdM8pLolvQajRsq7HT5IhOug+HFY42P9PPKk6aK6xgKELl3hZSzNGkS8cKqeEDbWjag2Fhdv8bXwQJjEkjPzMFs0GHLxhm9wHncQXGLXujyYE0i0FK9/cQi1HPt8tLiEQUWi1sq3bQ7PQTiTgIK4XTE+DSs4qTYsOx6gYXja1e8jItNDt9HLT70GpgWLENjy+ExaTvl+OLIFnppGE26khPjU636ait+E12tm+gVdAPdnU7nSwmPTPPGUT56DxGDcrAaNDS2hbg672t7Dng5PVPqli3vZFI5OQrrve2cDjCxj3NRCIKo0EXu1osyUsjxaTH7Q2SmWaKzYbob+QyIkloNBpyMy002r3HPWVnb3sAHSRVu3tcijkaHJUCvU7DrlonTk+QjXtaGFOqeP+LGlpcfi6cUIgpAfdIWb/jIF9XtTIgw4LXH2Jf++yFke1j0V5/mEn5aX1+/+ijkcCYRIpyUqmsaqG+5fhWXnQUth1SKMVpe0Oq2cDl5wwiElHodVpqGt3UtXjYvKeFoUXpBDbX0+ry862JRbG9exJBdYOLTzfXkWrRk2LWs3F3MxEVrdSdY4vuHY2m/44vggTGpDKofS7i8UzZiUQitLgkI93bUi0GrjyvFItJj0HXRKpFz65aJ7tqnbR5g0SU4kCzm/KReUwaPiDuWWuXJ8Cy9fvx+sMU56YSjkTY2WmKTrRNEKvZ0G/HF0HGGJNKRzEJlyeA13/sMljVjW5C4ei8O9nOoHelmg3MPGcQF0woZOAAK+MGZ6HTaqhv8bJ1XysuT5Bl62t4aflOduy3n9Juj6ciHFF8vOEANY1tFOWkoNFo2Fffhi8QJsWkpyTXilKKFpePkYMy+u34IkhgTCplheloNBBR37zNwZZ9LQDYUo0Y9Ik3xtXXGPRaLjqjkBlnF1OUk8qEsiwsJh1OT5DPv26gzRuktsnNqyv38FbFPppPcKJ+T1i/o5GNu5rJz0pBp9NGV710TNEptqHVanB5gqSYDUwcNuC09y+RSGBMIukpRlLN0WISHduhHs2u2ujr/a2OXjxpNBomDhvA7KmDGZSfxtjSLPIzLUQiio27W6jc24JWA1/tOMj/LdvBZ5vrqG85tf3Cj1d1YxurNtXHxhUhWmuy1eVHp9UwrMiGUopmp59RJRnkZybOmGg8SGBMIlqtJrbNwb6GY2emq9tfH5QrxWlPt8EF6Vx70RBGlGQwuCCNScNyMOq1tDj9rNhwAKc3SCgcYdn6/fz9g+0s+nAn67YfpNl5chXav0mbN8iH62pw+0Nkpx+6Pe6YojO4IA2TUUebN4jFpGPisAFJu/a7p0jyJckUZEWLSXzT/i/7m9rXSBdJYIyHHJuFay4oY/mXtWza3Uz5qFyq6l3sP+hm854WahrbOGd0LhaTnprGNnYfcGI16ynOtTKiJIOC7FSy00ynXO4rGIrw8Ve1VDe2UZJnjQW86sa22Dr6EcUZ7ctH/UwclkNhdv9NunSQwJhkinOtVGxpoKHl6FV2QuEIdpcfgJFSnDZuOpIyxQNS+WRTHSW5VgYOSOWrnc3Y2wK8t3Y/JXnRZE2h1UibN8jOWgfbqu2YTTrSLAYG5lopyEphQIaFHJs5NpRyLOFwhAPNHvYccLKtppX6Zi/5WSmxPVv2NbhYtbkeBZQVppGZZopeLRp1TByavJWCepIExiRT2r5vS9MxtjjYVesgoqIls45n6aDoPTptdNyxKMfK8i/3s2O/g6nj89lV62BvfRvVDdFHcW4q4wZnUZxrJaIUPn8Yjz/Ehl1NfBUBnU5DillPVpqZARlmMq0m0lKMpKUYSLMYsFoMNDl8VNU72Vpt56DdSyAYIdWsp3BASmyS+d56F59V1qNU9Bb6nFF5QHQK2NjBWQwcIGPSIIEx6XRUk/b6wzjcAWyph1fl3rS7GYBMq6lf7eyWyHIzo7fWq7c2sGZLI4Ny0xhZksHWfXb2NbRR0+imptFNUU4q48qyyLGZSTHrY2PKwVAEjy9EQ6uH6kYXSgEqGjCNBh0mvRZvIIwvEF3jnJ1uwmzs+td7T52TisqG2JXiOaPz0Go0uL1BjHodk4fL2GIHCYxJpig7BYNeSzAUYXetnUnDc7u87vWHWLO1MdpW/vVPKEaDjgvGF1Kca+WjL2upaWxj/JBsxpVlUVnVyr72sePaJjc5NjMluVZK8qxYLQYMei02qxEbh/4hVEoRjij8wTCBYARbqpH8LMsRg9vuWgcVW6K/F0OL0ikflRtrd9DhY0xp9GpVRElgTDJ6vQ5bqpEmh489da7DAmPF1w1Utc9xHJQniZdENDg/nesvtlCxpZ4vdzbhD4Q5e9QAxpdlUVnVQlW9iyaHjyaHjy93NpGVbmJQe5BM67Rvj0ajQa+LVt5OPUals537HbF/LIcPtHHWyENXhh5fCINey6ThMrbYmQTGJJSfmUKTwxebktOhurGNJauqaPOGoiX5JxTEqYfim6RaDFwyaSBDizL4ZNMBqupcpKUYmDImjzOG5VDTGB17bGz10uL00+L089WuZmypRjLTTGRYjdhSjWRYjaRaDGjbg1ooHMHRFsDuDkT/2+aPbYcxotjG5BFdb5cP2r2MLMmQaV3dSGBMQkU5KVTubeFA86EpO4FgmHcq9rKz9tC618GFknhJZBqNhtL8NAqzh7J+x0FWb2lgb30b+VkWRhRnMKI4A18gRE2jm30NLhpavTjcgcP2ttZpNaSnGAiGI7R5j7xUdFRJxmFXhR5/CJ1Oy6Thuf22is7RSGBMQiXtt8j1nabsrNveyMcbDhCJKNJTDFx5bulxTe0Q8Wc06JgyJp8hhTY+2XSAbTV2NESr3VhMeoYNtDFsoA1fIMxBezQ42tuiAdLpDhCOKFrbDgVLs1EXu5q0pRrJSjfHkjgdAsEwdU0eRpdmMjhfrha7k8CYhDq2OWhtC6CUor7Vy2ufVmFvC6DRwNTxBZwzJi/OvRQnKjfTwuzzB7Otxs6GnU1UN7YRDHnJTDORnmrAbNRRnGuluNN7Ikrh9gZxuAMYdFpsVtMxK/h07APU5g0xpCidC8YXyNXiEUhgTEIdU3aCoQh1zR4+WFfD1n3RbQzKCtK58txSLEb5o01GOp2WMaVZjCrJpLqxjcqqZrbXOGJjkJlpXadgaTWa9vmMh0/b6s7jD9HQ4sWWamT6WQOZNGwAxgQsopsI5G9PEkqzGEkx6fH4Q7z3RTUfrq8lFFakmvVcdX5pbBK4SF5abXT8sTQ/jSmjfWzZ18qmPc3UHvQQUQqdVoPFpMNi0mMx6o65dDAcUTS0eAhHFOPKspg6riChCucmIgmMSSrbZsLTGOLjrw7ECteeOyafqWMLZNpFH5NtMzN1fAGTRwyg5mAbrS4/DS1e6lrctHmC7cUnOr1BAZpD/x9RivysFKaOK2DkoMx+uR3qiZLAmKSKclKpaXTT0Brd5qAk18pV55WSapGES19lMekZPjAj9nMkonB4ArQ6/bS4fARDEVR7IARQKjqmaNBrGTs467hut0VUUq8X+/Wvf83IkSNJTU0lMzOTadOmsWbNmsPavfPOO5SXl2OxWMjMzGTWrFnfeOytW7dy5ZVXYrPZSE1N5ayzzqK6ujr2us/nY968eWRnZ2O1WrnmmmtoaGjoydM7puIBh1YpmI06rjh3UGzsUfQPWq2GTKuJssJ0Jo/IZcqYfM4dm8/54wo4f1wBU8cXcMGEQqaMyZegeIKSOjAOHz6cJ554gs2bN7Nq1SpKS0u59NJLOXjwYKzNa6+9xs0338zcuXPZuHEjn332GTfeeOMxj7t7927OP/98Ro4cyYoVK9i0aRMPPvggZvOhKQ/33Xcfb731Fq+88gorV67kwIEDXH311b12rt11Lg5x1ogBXHxGkdxCC9FTVB/icDgUoD788EOllFLBYFAVFRWpZ5555oSOc91116nvfe97R33dbrcrg8GgXnnlldhzW7duVYCqqKg44f46HI4T6p9SSjk9fjVnwXJ1x59Wqso9zSf8fiHE0SX1FWNngUCAp59+GpvNxoQJEwD48ssvqa2tRavVMnHiRAoKCpgxYwaVlZVHPU4kEuGdd95h+PDhTJ8+ndzcXMrLy3njjTdibdavX08wGGTatGmx50aOHElJSQkVFRVHPbbf78fpdHZ5nCyr2cC/TS5m+lnFjBokNReF6ElJHxjffvttrFYrZrOZxx57jGXLlpGTkwPAnj17gOhY5C9/+UvefvttMjMzueiii2hpaTni8RobG2lra+ORRx7hsssu44MPPmD27NlcffXVrFy5EoD6+nqMRiMZGRld3puXl0d9ff1R+7pgwQJsNlvsUVxcfNS230Sj0XDjJUOZec4gmaArRA9LmsC4aNEirFZr7PHpp58CcPHFF7NhwwY+//xzLrvsMr773e/S2BitJBKJRAD4xS9+wTXXXMOZZ57J888/j0aj4ZVXXjni53S856qrruK+++7jjDPO4IEHHuDyyy/nqaeeOqVzmD9/Pg6HI/aoqak5peNpNBoM+qT5IxQiaSTNdJ0rr7yS8vLy2M9FRUUApKamMnToUIYOHco555zDsGHDePbZZ5k/fz4FBdHqMqNHj469z2QyUVZW1iXD3FlOTg56vb7LewBGjRrFqlWrAMjPzycQCGC327tcNTY0NJCfn3/UczCZTJhM/XevXiGSRdJcbqSlpcUC4NChQ7FYjjxzPxKJ4PdH9zs588wzMZlMbN++PfZ6MBhk7969DBo06IjvNxqNnHXWWV3eA7Bjx47Ye84880wMBgPLly+Pvb59+3aqq6uZMmXKKZ2nECIBxDv7c7La2trU/PnzVUVFhdq7d69at26dmjt3rjKZTKqysjLW7p577lFFRUXq/fffV9u2bVO33Xabys3NVS0tLbE2I0aMUK+//nrs59dff10ZDAb19NNPq507d6o///nPSqfTqU8//TTW5o477lAlJSXqo48+UuvWrVNTpkxRU6ZMOaFzOJWstBCi9yRtYPR6vWr27NmqsLBQGY1GVVBQoK688kq1du3aLu0CgYD66U9/qnJzc1VaWpqaNm1al8CpVHT3jOeff77Lc88++6waOnSoMpvNasKECeqNN9447PN//OMfq8zMTJWSkqJmz56t6urqTugcJDAKkZg0SvXCDt/iuDidTmw2Gw6Hg/R0KSorRKJImjFGIYQ4XSQwCiFENxIYhRCiGwmMQgjRTdJM8O6LOvJep7JmWggRnefck9WlJDDGkcvlAjilNdNCCHp8ZodM14mjSCTCgQMHjvmvndPppLi4mJqamn47pae/fwf9/fzhm78DuWLsQ7RaLQMHDjyutunp6f32L0WH/v4d9Pfzh9P3HUjyRQghupHAKIQQ3UhgTHAmk4lf/epX/bpcWX//Dvr7+cPp/w4k+SKEEN3IFaMQQnQjgVEIIbqRwCiEEN1IYBRCiG4kMCa4v/zlL5SWlmI2mykvL2ft2rXx7tIJW7BgAWeddRZpaWnk5uYya9asw/bU8fl8zJs3j+zsbKxWK9dccw0NDQ1d2lRXVzNz5kxSUlLIzc3l/vvvJxQKdWmzYsUKJk2ahMlkYujQoSxcuLC3T++kPPLII2g0Gu69997Yc/3hO6itreV73/se2dnZWCwWxo0bx7p162KvK6V46KGHKCgowGKxMG3aNHbu3NnlGC0tLdx0002kp6eTkZHBbbfdRltbW5c2mzZtYurUqZjNZoqLi3n00UdPrKPxKx4uvsnixYuV0WhUzz33nPr666/VD3/4Q5WRkaEaGhri3bUTMn36dPX888+ryspKtWHDBvXtb39blZSUqLa2tlibO+64QxUXF6vly5erdevWqXPOOUede+65sddDoZAaO3asmjZtmvrqq6/U0qVLVU5Ojpo/f36szZ49e1RKSor6yU9+orZs2RLbq+e99947ref7TdauXatKS0vV+PHj1T333BN7vq9/By0tLWrQoEHq1ltvVWvWrFF79uxR77//vtq1a1eszSOPPKJsNpt644031MaNG9WVV16pBg8erLxeb6zNZZddpiZMmKBWr16tPv30UzV06FB1ww03xF53OBwqLy9P3XTTTaqyslK99NJLymKxqP/93/897r5KYExgZ599tpo3b17s53A4rAoLC9WCBQvi2KtT19jYqAC1cuVKpZRSdrtdGQwG9corr8TabN26VQGqoqJCKaXU0qVLlVarVfX19bE2Tz75pEpPT1d+v18ppdTPfvYzNWbMmC6fdd1116np06f39ikdN5fLpYYNG6aWLVumLrzwwlhg7A/fwc9//nN1/vnnH/X1SCSi8vPz1e9///vYc3a7XZlMJvXSSy8ppZTasmWLAtQXX3wRa/Puu+8qjUajamtrlVJK/fWvf1WZmZmx76Tjs0eMGHHcfZVb6QQVCARYv34906ZNiz2n1WqZNm0aFRUVcezZqXM4HABkZWUBsH79eoLBYJdzHTlyJCUlJbFzraioYNy4ceTl5cXaTJ8+HafTyddffx1r0/kYHW0S6fuaN28eM2fOPKyf/eE7ePPNN5k8eTLXXnstubm5TJw4kb/97W+x16uqqqivr+/Sf5vNRnl5eZfvICMjg8mTJ8faTJs2Da1Wy5o1a2JtLrjgAoxGY6zN9OnT2b59O62trcfVVwmMCaqpqYlwONzlLwFAXl4e9fX1cerVqYtEItx7772cd955jB07FoD6+nqMRiMZGRld2nY+1/r6+iN+Fx2vHauN0+nE6/X2xumckMWLF/Pll1+yYMGCw17rD9/Bnj17ePLJJxk2bBjvv/8+d955J3fffTcvvPACcOgcjvU7X19fT25ubpfX9Xo9WVlZJ/Q9fROpriNOq3nz5lFZWcmqVavi3ZXTqqamhnvuuYdly5ZhNpvj3Z24iEQiTJ48md/+9rcATJw4kcrKSp566inmzJkT5951JVeMCSonJwedTndYVrKhoYH8/Pw49erU3HXXXbz99tt8/PHHXcqt5efnEwgEsNvtXdp3Ptf8/Pwjfhcdrx2rTXp6OhaLpadP54SsX7+exsZGJk2ahF6vR6/Xs3LlSh5//HH0ej15eXl9/jsoKChg9OjRXZ4bNWoU1dXVwKFzONbvfH5+Po2NjV1eD4VCtLS0nND39E0kMCYoo9HImWeeyfLly2PPRSIRli9fzpQpU+LYsxOnlOKuu+5iyZIlfPTRRwwePLjL62eeeSYGg6HLuW7fvp3q6urYuU6ZMoXNmzd3+UuxbNky0tPTY3/ZpkyZ0uUYHW0S4fu65JJL2Lx5Mxs2bIg9Jk+ezE033RT7/77+HZx33nmHTdPasWMHgwYNAmDw4MHk5+d36b/T6WTNmjVdvgO73c769etjbT766CMikQjl5eWxNp988gnBYDDWZtmyZYwYMYLMzMzj6+xxp2nEabd48WJlMpnUwoUL1ZYtW9Ttt9+uMjIyumQlk8Gdd96pbDabWrFihaqrq4s9PB5PrM0dd9yhSkpK1EcffaTWrVunpkyZoqZMmRJ7vWOqyqWXXqo2bNig3nvvPTVgwIAjTlW5//771datW9Vf/vKXhJmqciSds9JK9f3vYO3atUqv16uHH35Y7dy5Uy1atEilpKSof/zjH7E2jzzyiMrIyFD/+te/1KZNm9RVV111xOk6EydOVGvWrFGrVq1Sw4YN6zJdx263q7y8PHXzzTeryspKtXjxYpWSkiLTdfqSP//5z6qkpEQZjUZ19tlnq9WrV8e7SycMOOLj+eefj7Xxer3qxz/+scrMzFQpKSlq9uzZqq6urstx9u7dq2bMmKEsFovKyclRP/3pT1UwGOzS5uOPP1ZnnHGGMhqNqqysrMtnJJrugbE/fAdvvfWWGjt2rDKZTGrkyJHq6aef7vJ6JBJRDz74oMrLy1Mmk0ldcsklavv27V3aNDc3qxtuuEFZrVaVnp6u5s6dq1wuV5c2GzduVOeff74ymUyqqKhIPfLIIyfUTyk7JoQQ3cgYoxBCdCOBUQghupHAKIQQ3UhgFEKIbiQwCiFENxIYhRCiGwmMQgjRjQRGIYToRgKj6HdWrFiBRqNBo9Gwd+/eeHdHJCAJjKJPu/XWW9FoNFx00UWx59LT0ykvL6e8vByTyRS/zomEJfUYRb8zadIkVq9eHe9uiAQmV4yizyotLY1Vh165cmXs9vlIt9IdV5Yd7ykuLiY9PZ17770Xr9fLvffei81mo6SkhKeeeqrL5xw4cIDvf//7FBYWYjQaKSsr4z//8z8P271PJJGTqZAhRDKYNWuWysnJUYBKS0tT5eXlqry8XP3xj3+MVfipqqpSSik1Z84cBSij0ahSUlLUkCFDYm1GjRql0tPTVXFxsQKUVqtVW7ZsUUop1dTUFHs+LS1NjR8/Xun1egWouXPnxvHsxamQK0bRZy1ZsoSZM2cCh26fV69ezaRJk476nkAgwAcffMCOHTsoLi4GYNeuXWzcuJEtW7ZgNpuJRCKsXLkSgCeeeIKamhry8vLYvXs3Gzdu5NVXXwVg4cKF7Nq1q5fPUvQGCYxCdJKZmcl5552HVqulpKQEgLFjx1JaWorVao1txNRRKn/t2rWxn3Nzc9FoNMyaNQuIVi7v2LlOJBdJvgjRSXp6euz/9Xr9Yc9pNBogGvQ6S0tLO2w/E4CUlJTe6KboZRIYRZ/WEZjcbnevHP+ss85i6dKl6PV6Fi9eTGlpKQAul4slS5Ywe/bsXvlc0bvkVlr0aSNHjgRg3bp1jBs3jnPOOadH91eeN28eRUVFtLa2MmLECM444wyGDBlCdnZ2wm0JKo6fBEbRp33/+9/nmmuuwWazUVlZyZo1awiHwz12/AEDBrB69Wrmzp1LdnY2X3/9NV6vl6lTp/LYY4/12OeI00v2fBFCiG7kilEIIbqRwCiEEN1IYBRCiG4kMAohRDcSGIUQohsJjEII0Y0ERiGE6EYCoxBCdCOBUQghupHAKIQQ3UhgFEKIbv4/FR58lWhZ2fAAAAAASUVORK5CYII=", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Let's look at just the f(time) for level b - this one looks just like before!\n", "plot(model3,which=[1],fig_size=(single_size,single_size),prov_cols=0.1)" ] }, { "cell_type": "code", "execution_count": 27, "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# However, just the prediction from the second f(time) does look a bit different\n", "# now! In fact it represents the difference between the two conditions!\n", "plot(model3,which=[2],fig_size=(single_size,single_size))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "If we use all terms we can still predict how y changes over time for both conditions - and thus essentially recover the predictions from model 2! For this we again make use of the `plot_fitted` function, which allows to visualize the combined prediction of multiple terms included in the model (again, see the doc string!)" ] }, { "cell_type": "code", "execution_count": 28, "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig = plt.figure(figsize=(2*single_size,single_size),layout='constrained')\n", "axs = fig.subplots(1,2,gridspec_kw={\"wspace\":0.1})\n", "cols = [0.1,0.9]\n", "titles = [\"Cond: a\", \"Cond: b\"]\n", "\n", "for ci,c in enumerate([\"a\",\"b\"]):\n", " # Set up some new data for prediction\n", " time_pred = [t for t in range(0,max(dat[\"time\"]),20)]\n", " \n", " new_dat = pd.DataFrame({\"cond\":[c for _ in range(len(time_pred))],\n", " \"time\":time_pred})\n", " \n", " # Now make prediction using all terms\n", " plot_fitted(new_dat,[\"time\"],model3,ax=axs[ci],col=cols[ci],use=[0,1,2],title=titles[ci])\n", " \n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### An ordered factor model\n", "\n", "In ``mgcv`` in R, the `by` keyword is sensitive to whether the factor is of type `ordered` or not. This is not the case in ``mssm``, but \"ordered factor models\" can be implemented nonetheless. As mentioned in the previous section, the syntax for the formula is very similar to the binary model - we just need to create an additional \"is_by\" variable:" ] }, { "cell_type": "code", "execution_count": 29, "metadata": {}, "outputs": [], "source": [ "dat[\"is_a\"] = (dat[\"cond\"].values == \"a\").astype(int)\n", "\n", "# We also specify a code-book to recode the model so that we get an offset term for level \"a\" when adding `l([\"cond\"])` to the model\n", "codebook = {\"cond\":{\"b\":0,\"a\":1}}" ] }, { "cell_type": "code", "execution_count": 30, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/Users/joshmac/Documents/repos/mssm/src/mssm/src/python/formula.py:640: UserWarning: 3003 y values (9.32%) are NA.\n", " warnings.warn(f\"{data.shape[0] - data[NAs_flat].shape[0]} {self.lhs.variable} values ({round((data.shape[0] - data[NAs_flat].shape[0]) / data.shape[0] * 100,ndigits=2)}%) are NA.\")\n" ] } ], "source": [ "formula3O = Formula(lhs=lhs(\"y\"), # The dependent variable - here y!\n", " terms=[i(), # The intercept, a\n", " l([\"cond\"]), # An offset term - here for level a\n", " f([\"time\"]), # One f(time) term - will correspond to the baseline level for condition: here let's choose b\n", " f([\"time\"],by_cont=\"is_a\")], # Another f(time), this one models the difference over time from the other f(time) term for cond=a but cannot take on a constant!\n", " data=dat,\n", " codebook=codebook)" ] }, { "cell_type": "code", "execution_count": 31, "metadata": {}, "outputs": [], "source": [ "model3O = GAMM(formula3O,Gaussian())\n", "model3O.fit(progress_bar=False)" ] }, { "cell_type": "code", "execution_count": 32, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Intercept: 52.878, t: 211.867, DoF.: 29197, P(|T| > |t|): 0.000e+00 ***\n", "cond_a: -14.002, t: -29.029, DoF.: 29197, P(|T| > |t|): 0.000e+00 ***\n", "\n", "Note: p < 0.001: ***, p < 0.01: **, p < 0.05: *, p < 0.1: .\n" ] } ], "source": [ "model3O.print_parametric_terms()" ] }, { "cell_type": "code", "execution_count": 33, "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Let's look at just the f(time) for level b - this one again looks just like before!\n", "plot(model3O,which=[2],fig_size=(single_size,single_size),prov_cols=0.1)" ] }, { "cell_type": "code", "execution_count": 34, "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# The predicted effect of the second smooth `f([\"time\"],by_cont=\"is_a\")`:\n", "plot(model3O,which=[3],fig_size=(single_size,single_size),prov_cols=0.1)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The predicted effect of the second smooth `f([\"time\"],by_cont=\"is_a\")` looks very similar to the binary smooth from model 3 - the difference is a different offset shift. To understand what is goind on, remember that both `f([\"time\"],by_cont=\"is_a\")` in model 3O and `f([\"time\"],binary=[\"cond\",\"a\"])` in model 3 are difference curves. The distinction is that the latter can include an offset shift, while the former does not. In model 3O, this offset shift is added back in by the `l([\"cond\"])` term:" ] }, { "cell_type": "code", "execution_count": 35, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Intercept: 52.878, t: 211.867, DoF.: 29197, P(|T| > |t|): 0.000e+00 ***\n", "cond_a: -14.002, t: -29.029, DoF.: 29197, P(|T| > |t|): 0.000e+00 ***\n", "\n", "Note: p < 0.001: ***, p < 0.01: **, p < 0.05: *, p < 0.1: .\n" ] } ], "source": [ "model3O.print_parametric_terms()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "If you add -14.002 to the estimate for `f([\"time\"],by_cont=\"is_a\")`, you essentially end up again with the estimated effect for `f([\"time\"],binary=[\"cond\",\"a\"])`. **Note**, that while that is true in this simple model, this is not generally the case - depending on how you set up the ordered factor smooths." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Tensor smooth interactions\n", "\n", "Non-linear interactions between continuous variables are supported via tensor smooth interactions (see Wood, 2006; Wood, 2017). Both the behavior achieved by the `ti()` and `te()` terms in `mgcv` is supported. Let's start with considering the `te()` term behavior!" ] }, { "cell_type": "code", "execution_count": 36, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/Users/joshmac/Documents/repos/mssm/src/mssm/src/python/formula.py:640: UserWarning: 3003 y values (9.32%) are NA.\n", " warnings.warn(f\"{data.shape[0] - data[NAs_flat].shape[0]} {self.lhs.variable} values ({round((data.shape[0] - data[NAs_flat].shape[0]) / data.shape[0] * 100,ndigits=2)}%) are NA.\")\n" ] } ], "source": [ "formula4 = Formula(lhs=lhs(\"y\"), # The dependent variable - here y!\n", " terms=[i(), # The intercept, a\n", " l([\"cond\"]), # Offset for cond='b'\n", " f([\"time\",\"x\"],by=\"cond\",te=True)], # one smooth surface over time and x - f(time,x) - per level of cond: three-way interaction!\n", " data=dat)" ] }, { "cell_type": "code", "execution_count": 37, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "f(['time', 'x'],by=cond): a; edf: 7.507\n", "f(['time', 'x'],by=cond): b; edf: 8.84\n" ] } ], "source": [ "# Fit the model\n", "model4 = GAMM(formula4,Gaussian())\n", "model4.fit(progress_bar=False)\n", "\n", "# We end up with two smooth terms - one surface for every level of cond.\n", "model4.print_smooth_terms()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We can now visualize the smooth functions. For this we can again use the `plot` function. **Remember**: the plot function only visualizes the estimated smooth terms, it ignores all other terms. That is, in this example the smooth functions are **not** shifted up/down by the intercept and offset adjustment for level \"b\" of factor \"cond\".\n", "\n", "**Note**: the shaded areas in the plot below correspond to areas outside of a (by default 95%) credible interval." ] }, { "cell_type": "code", "execution_count": 38, "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig = plt.figure(figsize=(2*single_size,single_size),layout='constrained')\n", "axs = fig.subplots(1,2,gridspec_kw={\"wspace\":0.3})\n", "plot(model4,axs=axs)\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The ti() term in mgcv enables decomposing smooth interactions into separate interaction (including lower order interactions) and main effects! In ``mssm`` this is achieved by omitting the `te=True` argument (the default). In that case, separate smooth terms have to be included for the lower order interactions, just like in `mgcv`:" ] }, { "cell_type": "code", "execution_count": 39, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/Users/joshmac/Documents/repos/mssm/src/mssm/src/python/formula.py:640: UserWarning: 3003 y values (9.32%) are NA.\n", " warnings.warn(f\"{data.shape[0] - data[NAs_flat].shape[0]} {self.lhs.variable} values ({round((data.shape[0] - data[NAs_flat].shape[0]) / data.shape[0] * 100,ndigits=2)}%) are NA.\")\n" ] } ], "source": [ "formula5 = Formula(lhs=lhs(\"y\"), # The dependent variable - here y!\n", " terms=[i(), # The intercept, a\n", " l([\"cond\"]), # Offset for cond='b'\n", " f([\"time\"],by=\"cond\"), # to-way interaction between time and cond; one smooth over time per cond level\n", " f([\"x\"],by=\"cond\"), # to-way interaction between x and cond; one smooth over x per cond level\n", " f([\"time\",\"x\"],by=\"cond\")], # one smooth surface over time and x - f(time,x) - per level of cond: three-way interaction!\n", " data=dat)" ] }, { "cell_type": "code", "execution_count": 40, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "f(['time'],by=cond): a; edf: 6.88\n", "f(['time'],by=cond): b; edf: 8.716\n", "f(['x'],by=cond): a; edf: 1.042\n", "f(['x'],by=cond): b; edf: 1.202\n", "f(['time', 'x'],by=cond): a; edf: 1.0\n", "f(['time', 'x'],by=cond): b; edf: 1.0\n" ] } ], "source": [ "# Fit the model\n", "model5 = GAMM(formula5,Gaussian())\n", "model5.fit(progress_bar=False)\n", "\n", "# We end up with a total of 6 smooth terms in this model!\n", "model5.print_smooth_terms()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We can now visualize the partial main & interaction effects:" ] }, { "cell_type": "code", "execution_count": 41, "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Visualizing the partial main effects of time.\n", "fig = plt.figure(figsize=(2*single_size,single_size),layout='constrained')\n", "axs = fig.subplots(1,2,gridspec_kw={\"wspace\":0.1})\n", "plot(model5,which=[2],axs=axs,ci=True)\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 42, "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Visualizing the partial main effects of x.\n", "fig = plt.figure(figsize=(2*single_size,single_size),layout='constrained')\n", "axs = fig.subplots(1,2,gridspec_kw={\"wspace\":0.1})\n", "plot(model5,which=[3],axs=axs,ci=True)\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 43, "metadata": {}, "outputs": [ { "data": { "image/png": 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/3a/G5lzMZnPvjNVQZ65KkkTpqEp0+mFmxp4h1NIPUU89PIFs9YUj/NnqU11GDrUrl62OhVjnunvo1qfw97wZNBj7z+gPR6zVLgfpl7WWZcq372X2y++QWdeEz2jg2IKZbL/+cjqL8snJlsjOGliusrOk3qz2YI/B9hVok1jEZfBnqdce9k9KnD3eREaqZi9dihHq9UKtUsSxs+ZjTksjf2S5ahMWAygu1joDSBI4uqIm1pHWWQc40jOCDncaesnHmPQ6ZmQdIlVvjzgLLeKyumg2Mt1yyy3s3Lmz3yz80tJSHnroId59911Fz9V4/AgZOp+ix0xYQq1RDKMLCECGWe7tBLL2RCo+BWN5tMX6xtYailxW7Ge6gtSasvttH6pYQ/Sz1qkdVqa//j7j132Kwe6kJy+bHdddxsHFc3GbQ2hxKIhrohmX+3KgJ426Vh9GA1w0Vfy+RZOM3Dwu/eJXqJgyg7zU0D57NWurAwxZCpKSDlWXgslyVqxTQ7vWZ+elxSRr7fCZ2dk5loNdI/H4dGQabczKPsio1HpSCi0xL/EQDExM+1R3d3dz+PDh3p+PHTtGTU0Nubm5lJeXk5fXv/m90WikuLiYCROCm0QYDD0d7VS/+wa7TGauuvUOUtOD6yEajQmKcdtOL0KknBzk9nYuHGlnW6OZZpuB7Y1mZhcP3FpHyslEbg9v4lOw6IvSQuphbSxM7e1hbfG5uaF1B6/nTqHWnMMredO4vH0f4x3NvdsHxDrYXtbgF+tQ+lkHxDrYntYBsQ70tZaA4gPHyDtxmqPzZ9BYNYaGSWNpzMuCJ7U1A1sQPlqIy33xybBuu/9vf36ViXRLELkgMUExKPIsRlrtw8eDYO/eDkROqjGk3tX5WRZaOoNfuAX8Yj1YD2spJR256lLYt84v1nveJ3fixbQ5Q/uCkJ2XFnQva/CLdSj9rANi3b+ntUSDM582dyZj006Rb7YyKrURj6zntL0Qc2Fa0D2tBdEhppnqrVu39s7mBHjwwQeZOXMmjzzySNTGsH/TBmSfj/ySkqCFOpGISl/WMLPVFoPMxWX+ALPuRCp2z+C3pKLRDSSSjLVJ9nJt6y7G2pvxSjreyp3M5vRyzk3Aq11nDZFnrY0OFxM+3My01/5NalsnJXsOhTwGgXbRQlzuy66OVJo7faSY4MLJ6qzoFq/9qc9FzWSPLMvUHT7AiQ3vaa4MBILIWE9aCimZ4LbDvrXkmkPvf6x2OQgMnLV2+Uzs7apkr3UUHe406uz5va9poeOH4CwxzVQvWbIkpD9OpWd5ttWfpuHoISRJYvaiJYoe+1xEPXVoBLLVs4sdVDeYabEb+OikheWjQ1sidij0RanBr7bYu0/4GWsDPq5s38N67xi2p5fxceZoOvUWLu08iL6PXqcVpoacsQZCzloHm7GG87PWANn1zcz6xzvYvKEtTSzQNrGOy33xeOGDGr/8LJxiFh0/VCDYbLXLYWfnuvfwetykl40mb9TYoM8RarYaVMhYm1ORJ10KB9YDMpjTyDtTntLaHvx5Qs1Yg3JZ6xZXDi2ubPz3DQFkpmQepcmZQ1NhDqGsxihQB83WVKuN7POx9+MPABgzeSrZ+QVB75tUvakHIoq3VvU6WF7pD0ZbGlJosQ3+KxtOi71oZawDWWsdsMR6hEs6DiHJMrvTSnglbxoOqf/322jVWYeTte6budb5fEgqZ60Eycu2llQ6e2TSLRLzJgZ5u16UfqiC2ZJK5fRZANTVbEL2hVabHE59teIZa6MZqpbAhIuR9GfHE04va7XrrGGwDiFnv1gWmdvINXUxMeMk07MOk6bAREZBZCStVJ/ct4vO5kaMJhMzFy6K9XASnzBKQAKdQMbkuBmX48InS7x7LG3IFntaFWvoXw4yw3aaq9t2Y/R5qTXn8Lf8mbTr+wfQtMJU1buDQOjlIHB+SYhAoDRON3y0y5+lXjzNjNGgoSx1nLfTC5fR0+dgNKfQ3d5G85H9UTmn4mKtN/rl+gxy3T7khoMhizVErxxksA4hTc4cjvWU4JV1ZBl7mJV9gLFpp0grMmMuEHIdC5JSqm1dVvZtXA/AjAsXYUkLvpY6nCy1KP2InMsqe9BLMkc7TOxsUr6uMhZiPdrZyo0t20n3OmkzpvF/BbM5as49bx+tZ61zsgd+PSf77DaDPQbbVyD4sDaFHodMboaOmWOD/N0MI0udKPXUAcK5RgXTsxrAaDYzdvZ8AE5t24jHGVpdcjS6gQQIqo+1tRlqd8KJ7cjHq8nNDv3aEqpYQ/hZ63PlWkZHrb2Ire0TaXZmIUlQamlhXs5eSszNAx5HxGV1SUqpNppMVI6fSEHpCCbMmBXr4QxIQnb+iCBbnWfxcXG5vwzk3WOpWJ3KloGES6RiXejp5ubmakqdnTh1Bl7LncrG9FGce2M1GmIN4cm1QKA0TVbYtM8FwOXzUtDrNZSljiJaTMhUTJlBWnYOTruNxh2fhrx/tMpAIAixzsiHsun+/288DPs+JDc99N+1cMVaqZIQp8/Evq5KdnSOoctjwaDzkWdWtyOWYGCSU6rNKVy44gqW3/AFdLrgP4Kkr6XuSxTrFgNivWCEg9J0D06vjtVHtFEG4t8vMrFO87m4obWGaT2nQZL4NLOSf+bNoFvXv4Y0WuUgEF5JiECgBLIMbx8wIsswoczA2BFBzqcXtdQREWy2WqfXM/XiZQCc3LsTu7Uj5HNpRawlSUIqnQjjFvoXiulqgl3vkWsIfbJfOHXWoFzWGqDTncH2jvEc6CrjWHdJyMcVRE5SSbXH5UKW5d7goTeo3/xEi5mGmBJmez0AnQRXje1GL8kcajexq3noiUvxJNZ6ZJZ2HuLy9n0YfR5OmbP5a8Fcjprzztsv3Kx1NEpCBIJI2d2ZxolGLwY9rJg7/C38SEi00o8AaieA8krLGDdnAfOvuoERRcFP8u+LVsQaQModCVMug5SMMy331pHrrotKnTVElrU+X64lGp159PjEMuWxIGmkWpZlqt99gx3vvIatqyvk/RM5Sx0PF5ZAtrowzcuiM72r3z2WRrdr6Ft18SDWfeW6yt7IF5urKXR14dAbeS1vKh9kjsVD//cZjliDKAkRaBubC97d6m+JdtFUM9npQV6iRJZaEYLNVgOMn7uA/JHlAOSGsF+kqCbWlky/WOeMBNkHOv+CN+GKdezlWhALkkaqTx/YR8upEzTUnsTtdsV6OIlBuBeyCLLVABeOsFOc5sHh0bH6SPqQZSDhEk2xhv5Z6xyvnc+3bGNmdy0A29NH8rf8WYp0B4HISkKEXAvU5J1DJmwOmcJsHQsna3Q58iTt/DEUti4rjq7OkPcLd+KiamKtN8K4C2HiEqT8it7nc4OY9DgQ4Yg1hFcSAoO14BNEk6SR6gObNgAwY+EisnLPv6U+FOFmqUXph7IEstV6HVw9rhudJHOgzcRuFcpAILZibUBmifUI17TuIsXrpsmUwQsFs9lrKYp4FcYA4Yg1iHprgToc6Elj9zEPkgRXXWgJfnJimF/u4+EOXSwIJVsN0HDsMOtfeo4Tn7wf1kqLmhNrSULKKur9WXY7YNe75NImstaCYUkaqfa4XRSUlFI1a06shzIsCdn541zCzFYHxLoozcuikf4ykLeOpNNk0w+zX/yI9blt925p3sJIZwdunYF3c6p4LXcqXbr+rZ+0mLVOyzH2bjfYIy1HCLoAuhzwxkZ/2ccFk0yMyB/67zmZCDc5E62Sxcy8AkCmrf409XtrwjpGLMQ6mJZ7AJzeC/ZOOLgB+egWcjPDm4sVSdY6HLlOzR34/Ym4rC5JI9VGk4mFl38mpG4fkNi11IoQw1rGi8rsVGS5cfskXt6Xgd2jfH01RCbWSmSt030urm+tYaH1KHrZx7GUPJ4rnEtNaqmiWetw5VoEYEEk+GT41y4jNodMUY6OJdND6BUsaqlVIZRsdWpmFlUXXgzAyepP6G5tCuuc0RZrCK6XNeXToXi8//+bj/qz1vrQ52VB+FlrCF+uBdElaaR67iXLyMyJXgAWpR9BEGG2WifB9RO6yDJ7aXPoefVgOr5h7j5GW6z9+0Yu1jpgXvdJvti8lRJXJ26dgXXZ4/l73kzaDP3HFm7WGsKXa4EgXNbXpnCi0YvJANcvtkRl5cRkKf2IVlKofNI0iirHIPt8HF3/Lt4w5y1pUawlnR5p1EyougTMaeDs8XcHse4nNyu8uv9I5VqgXZJGqkeNmxDyPsmUpY63i0xArFONMp+b2IVBJ3O43cSHJ4cPrvEm1n3lOs9j4/Mt27mk4xBGn4c6cxb/WzCHTenleAfoEBLtemuBIBSOudJYv9MvYFdeYCE/K4Syj1hkqZNokmIo2WpJkpi2ZDkpaen0dHZQV70h7PNqUawBpMxCmLoCCkb7n2g4CHX7wqqzDiCy1olH0kh1qEQi1EmXpY7k4hZBJ5CAWJeke/nMmG4ANpxKZV/r8NmDeBJr6J+1loAZttPc2ryFCkcrXknHJ5mjebFgNvXG89+XyFoLtMqbn/jnRcwca2Tq6OiUEcVbAiFeMKVYmLFsJQCn9u+h4/SJsI8ViVirWWct6Y1Io+fC+EWQng8l/mRdXo4lbLkWJSGJhZBqjZEUkxRVYGqhi/ml/gv06wfTaR5m4mIk6ItSY1Zn3VeuM71Orm3bxeXt+0jxumkxpvNSwSzezZ5Aj67/RUmUhAi0SM+Z9nmXzwuxZZmopQ6aSBJEoXYCySstY9zsCxg9Yw4Vo0eHfV4IX6whClnrnFKYdKm/BR/+dTDko5vJ1XcJuU5yhFQPQDKVfWgCBbLVAMsqbFRkuXH5JP6+LwOHShMXA8Qyax2Qawn/gjG3NW9mkq0BgL2pJawqnE912kjFS0KEXAuUxGiAGy4OsY46CYU6lnc/QxXrcXMXULVgMTqdLuJFYWIp1sG03uul5Tg0H4N96/xyHeyiRQMg5Dq+EVJ9DpEKddKVfgSI4YWu78TFz/aZuPivA+l4fcPtG1uxVqokJNXnZkXHfr7QvI0ilxWXzsD6rLH8tXAuR1LyBuwSIuRaEGtWzEkJrY46QkTph/r0lU2v10Pbvu34vN6wjxcrsYYgu4MA5IyAwjH+/28+BjtXk+s6TW52CJ1sziFSuc7OFTE6FoTXcFEgUJrcbGjrCHt3KScHub2dtDMTF5/blcWRDhNvHE7nmnHdSEMkwqScTOR2a9jn1hel4m20RbB/Gt7GnrD2DYi1u8l//hK3lZtatrEntZgNGaNpN6Tyeu5URjg7WGw9QrG7fyuogFj3NIU+/oBYe90DXzBT81NJNQ4tTIPtK0gOplSG2D0hllnqOJ6kmG5sp9sd/meXZzHSaneHvN/2996i8fgRSlqbGbXwsv7Z3RDISTXSbgv9/HBWrFs67WHtHxDr1g7HoNtIBhNUzkHOr4BjW/19rY9XQ9MRckfNRMospLU9vPMHxLqjNbxrxLmIuKwuIlPdh1hnqWNdTx1xFifSC16Ey5f3nbh4/YQuJGR2NZt543DasEuZSzmZEWWtI6mz9u+vXNZaAqbYGvhy0ybmdZ1AL3s5bc7m/wpm83rOFJoN558n3Ky1QBA1IowvIksdGaGWgQCMmjIDSaej/vABGrZ9HNaKiwEiyVhDdLLWUkY+TF0Oo2aB3gS2DjhZgyzLEXUJgcgy14LoIaT6DKKOOjEIiPW4XDfXje9GQmZHUwpvBiHW/v1jVw7i31+ZWmsAs+xlYdcxvty4mSpbA8gyRyz5/G/hXN7KmUTrIP2thWALBIlHLK5xBWWjmH7JCgCO79pOx4EdER1PC2I9fK21Dql4HEy/wl8SMmpWb4Y+N9NAblr4XyxAyLXWEVKtEElbS30uMc5W92VygYtrz4h1TZyJtZJyneFzcnnHfm5t3sJ4u3+1s4OWQv5aMJe3syfSoT//QiPkWqApRJZaE9eYcLLVI8ZXUbVgMQD7P/2I5iP7IxqDEmIdlay10YxUOcefvQ5Qvx92rCa36xC5GZHNJRByrU2EVCOy1JpDoTIQgCnniPVbR6In1rHMWsPAC8dc2b6XLzVtYYy9GVmS2J9azKrCebyXNYEO/fkXCiHXgpijhW4fcVxP3RclrnXhiPXoGXOonD4bgCMfvx9RD2uIXKwhOlnrvsiyDN1t4PNC/T6oeYtcx4mwV2UMIORaWyS9VCsRZJTIIMS6njpAImR04HyxvuaMWG9vjJ5YQ+yz1nC+XBd4eri6fQ83N2+l0tGKLEnsSfO34Xs7u2rQmmsh14Koo4BQJ0pMi3eqFiymdNxE9AYDORmRS6BSYh0tuZYkCSYshvEXgSUTvC44uQN2vEWu65SQ6wQhqbt/JFyG2t4Z6xH4Sc+B7gg/2wi7gcDZjiAAUwtcIHfz2qF0tjf6A+AVY3rQDTMZPdLOIHBWrCPtEOI/RvgzwM/tFFLk7ubatl3UGTP5NKOCEym57E8tYn9qEZWOVuZ0n2SEq7Nfp+tIuoUIBILYE2knEAivG4gkSUy/ZAU9He1k5PlLItrC6CjSl4BYh9sZJEB+liXs7iAB8rJThuwQAmfEOmcEcnYJtJyAU7vBZYPj28DRTd6omQBhdwqBs91Cmk4p0y1EEBpJLdVKoIU6t4RFabEudCHTzetnxNrhkbh2fDeGYe7XBDLWSsh1JGLtP0b47fcCnCvXpW4rn23bSZMhnS0Z5RxMKeBYSh7HUvIodHUxu6eWcfZm9H26XQcj16kFFtJMQ4cYr8sT0XsRJDAiS30eaYYWejz5w28YBcIRa51e3yvUAHQ209reQV7FuIjGEknLvQCRtt6D4NrvgX8yIwWVyHnl0HQUGg5A0dnPIDdVBr2Btq7wW9tlDdKnWsRldUna8o+Ey1JrDaXqIBWYuNi3FGRaoYvrxnejk2T2tZp5blcmVmdwfwZKlYNooSQEzi8LKfR0c2X7Xm5v2szUnjr0spcmUwZv50zimaL5bEofRY+u/y3KtMJUUgsiu30qEJyHFuqoAyRIPXVflLr+hVNfHcBm7WTr6lc4+ME71O+LrCsIKFMOApHXWkMIJSE6/ZlOIVcipaSffeHEdtj+BrnWA37BFsQNSSnVSgUUpbLUWqmnTmT6ivXkAhc3T7KSYvBR123k6R1Z1FqDu2mjhFhD5LXW/mOoI9c5XjvLOg/ylcZPWWA9RqrXRbc+hU8yK3m66AJWZ1dx2pR13iqNAoEiKCTUiZal1irhirUlPYOSsRMBOL5pPU07NkXUxxr8Yq2VWmsIsd76DLLPC85u8Hn8GeyaN8lt2U6uoZugJgMJYkrSSbXWhFqLKHYx0lC2GvqLdWW2h69M76Qw1UOPW8fzuzOpbghuSdlIF4oJoETW2n8cdeQ61efmgu4T3Nm4kcvb91Hi6sQn6TiQWsTf82fyvwVz2JlagluK3jLTggRHSxnqBCfWd2slnY4piy5l/LyFABzZvplTn67F54t8NT8ls9bRlGvwZ6+Zstw/qTGjEJChrRb2riX39AZyaYt4IRmBeiSVVMc6iCQlGhTrgFznpPj48rROqvKc+GSJ1UfSeetwGl5fsMdSLmutRbkOCLYBmSp7I19o2c7NzVuZ0lOHweelxZjO+9kTeD13csTnFAiUFGrFEgMaLP3QYkIn3Gy1JEmMmz2fqUv8S5ifOrCXox+sxut2RTwmpbLWoExJCISWuZayS5AmXQJTV0BBJUh6sLWD0z+nJi/HIuRagySNVKcbOxQ7lpJBTZR+hICCC8MExNqkh+sndHPpqB5AZltjCs/vzqTLNUxbkN7jKJO1BmVKQvzHUUau4fzsdZG7m8s6D/LVxo1c3HmYbI+NCbZmRc4lECiBKPsIHiUTTZHUV5dXTWX25degMxhoPnmc9v2R11gH0FrWGkLMXKdmI42eBzOvgrJpkF/Z+5rcfIzc5mpypQ5ys4O70ypQl6SRaqXQYpZADRS9MCl5S1cFsZYkWDjSwU2TujDrfZzqMvKXHdmc7gq+OY7Wstb+Y6kn1ymyh1k9p7i9aTNV9gZFziFIYkTZR8zQilgXVYzmgqs/R1HFGMbMmkduBMc6F6Wz1krLddArNJZWIRn6vI/Gw9B+Gg6s9y8m03NUTGyMMUKqBfGHCmINMDbHzZ3TO8m3eOhy6Vi1K5MPT1pCKgdJFrkOCLYE/VrtCQQho8WyD9Bk6UcALSd3IhHrnKIS5qy8Br3Bn9DIMevpOrpXkTprUC5rDcrKNYS+QiMAo+f6W/HpTf5+16d3+yc2Nm4mx9eq2NgEwSP6VIeA0oEsqUo/lFgQpi8K9LAO0LeXdZ7Fxx3TrLxxOI19rWbW16ZyoM3E1WO7KU4PLrArsWBMACUWjjl7rLNiHWmvazjb79roHLg/rLHAgtE89EVssH0FSUJ6tmKHEmUf4aPEgjB9CaeH9UAc3raJg1s2kr1/D5WLlpOSEfkXHaUWjAmgRH/rvgTb6xr8pSFUzEIunwZtp/w9r7uaobMBnAPvL+KyuohMdZBoOTMQNyh9i1fhjHUga202yFw/oZvPju/CYvDR2GPgLzuzYpa1BmUz1/7jKZe9FggE8Y/SE/kjyVgHSM/Jw2Ay09HUwK7XX6Ll6EEFRuZHyZIQUC9zHVy/awNSfgXSpEth+hVQOgkKxig2FkHwCKkOAjWEOh6y1HGR+VFQrKF/nfXkAhd3z+xg4pnuIOtrU/nLziwauoNvIRcvci0EWxDPKB6rNFz6ESAeEj2RinXJmPEsuvEWcopL8bhdHFr/Lic/+TduhzJZYdC+XEOIExtTMpDKpiJlFSs6BkFwCKkWRBc1JiSpINYBuU43ydwwQNb6g5MWPEFmrf3HVE6sQXm59h9TyLUg/oiLL/9xghptZyMV69SMTC645kbGzbkAJInTB/ex49X/peP0SYVG6EdJsYazch2r7LUgNgipHoZ4yAbEHXEg1jB01vqj2lSe2p7NgVZj0ItcKZ21BnXlWgi2QOsIoVYeLYq1Tqdj/NwLufC6L5CRm4/X7aYwP1fRDiFwNmutlmAriRBsbSKkegjUEup4KP0IEFcXLZXE+rys9YQuMkw+2h16/r4/kxf3ZtBsi11JCJyV62TLXu/cuZNFixaRkpJCWVkZv/rVr4Let7W1lZEjRyJJEh0dHf1e++CDD5g1axZms5mxY8eyatUqZQcu0C5xUPoRQK1rlFpiHalc5xSVcNENX2T+1Z8jPdsfl3MtRrwtdYp1COk9l4pyHcvykGgQTlz+5je/yezZszGbzcyYMWPAbWRZ5je/+Q3jx4/HbDYzYsQIfvaznyk8+sgQUj0IIkOtMmr1pVVBrOGcrHW+i6/PamfhSBt6SeZoh4n/2Z7Fu0dT6XEHt2iM/5jKyzUkT/baarWyfPlyRo0aRXV1Nb/+9a/50Y9+xJ/+9Keg9r/zzjuZNm3aec8fO3aMK6+8kksuuYSamhoeeOABvvKVr/Duu+8q/RYEERBXX/gFvUSctdbryS0u7f25vaGOzW/+k71v/R1rY12kwzsPNeQaEjd7HUlcvuOOO/j85z8/6Ov3338/Tz/9NL/5zW/Yv38/r7/+OvPmzVNy+BEjWuoNgJpCHU9ZatVRus1eAAXb7fUlINZyezsmPVw6ys6MQidrjqdxsM3E5noLNU1mFoxwcEGpHVOQyeuAWCvVhi9AX7FWoiXf2eMG15pPX5CGfpgLqD6CtlsvvPACLpeLZ555BpPJxOTJk6mpqeG3v/0td91115D7Pvnkk3R0dPDII4/w9ttv93vtqaeeorKykv/6r/8CoKqqig0bNvC73/2OFStWhD1egXKoJtRxlKVWG6Xb7PVFqZZ7AC6HHWNKCl2tLex5+58UVY6lePp8UrNzFTl+AKVb8QXoK9ZKteUDBl1hUatx+fHHHwegubmZnTt3nvf6vn37ePLJJ9m9ezcTJkwAoLKy8rztYo3IVJ+DyFCfj6oZITUz1ipmrQOCnWvx8fmqLr442UpxmgeXV8eHJ1N5fGsOH9VacHhin7kGdbLX/uOmoS+IPHtttVr7PZxO57D7bNy4kcWLF2MymXqfW7FiBQcOHKC9ffAva3v37uUnP/kJzz//PDrd+SFw48aNLFu2rN9zK1asYOPGjSG8I4FaxGOGWiL4OBAqal6z1CgDCaBEyz2AoooxXPyF2ymrmgqSROOxw+x47UVqN67F2a1sogLUy1yDOtnrSIhmXB6ON954g9GjR/Pmm29SWVlJRUUFX/nKV2hrawv7mGogpLoPagu1yFIPgppLFKsk1tB/NcbR2W6+Mr2Tz47vIjfFi92j44OTqTy+NZt1JyzYwigLUbM0RA3BjoSysjKysrJ6H48++uiw+zQ0NFBUVNTvucDPDQ0DL53udDq56aab+PWvf015eXlIx7VardjtymWSBKGjqlCLLPWAqC3WSsi12ZLKtCWXsfjzt1JcORZkmVMH9rDv3VfJMQc/3yUUoiHXsRbsaMXlYDh69CgnTpzg5Zdf5vnnn2fVqlVUV1dzww03hH1MNYipVK9fv56rrrqK0tJSJEni1Vdf7X3N7Xbz3e9+l6lTp5KWlkZpaSm33nordXXK10yBEOrhUD07pLZYRyFrHegScs+sDq4d30W+xYPTq2PDKX/mes2xVLpcoWWsopG91oJg19bW0tnZ2fv4/ve/r8p5vv/971NVVcWXvvQlVY6fCGgpLvclHjPU0ULt65eaYg3KZa0zcvKYffnVLPzsTeSNKGfMzLlIOh25FiM5KQY8ruEzraGiVseQALEU7GjF5WDw+Xw4nU6ef/55Fi1axJIlS/jLX/7CunXrOHDgQMzGdS4xleqenh6mT5/OE088cd5rNpuNbdu28fDDD7Nt2zb+9a9/ceDAAa6++mrFxyFKPjSCmmINqmetA3Ktk2BqgYu7Z3byuYldFKd5cPskPq2z8IetObx9JI1We2h/emrKNcResDMzM/s9zOaB6wH7UlxcTGNjY7/nAj8XFw+88MHatWt5+eWXMRgMGAwGli5dCkB+fj4//OEPhzxuZmYmFot2bs2qhVbicl9UF2qRpR6WaIi1UnKdXVTCBVffQPmkqb3P1R3az/Z/rKKxZiPOnm5FznMuaso1RF+woxWXg6GkpASDwcD48eN7n6uqqgLg5Elle5ZHQkwnKq5cuZKVK1cO+FpWVhZr1qzp99wf//hH5s2bx8mTJwe9dRsq0RDqeM9SB5DSspF7OtQ9iVqTFwOoNIkxQN/JjJIEE/NcTMh1caTDyEe1Fk51GdnakMLWhhTGZLuYW+JgbI4bKcgEdl+xVnpiYwC1JjgqzYIFC/iP//gP3G43RqP/QrZmzRomTJhATs7AX9D++c9/9ivh2LJlC3fccQcfffQRY8aM6T3u6tWr++23Zs0aFixYoNI70RZaiMt9ERnq4EgztNDjyVf1HGpOXgyg5CRGqU9grTt8AI/LxdGarUg7t1E6diJ5VdNJy1H+M+sr1kpPbAyg1gTHSAknLgfDwoUL8Xg8HDlypDdWHzzoX7Z+1KhRkQ9cIeKqprqzsxNJksjOzh50G6fTeV5x/WCIDLVGiUbGWsWsNZxfFjI2x83tU63cMrmTcTkuQOZIh4mX9mXyxLZsPj2dEtKkRv851Ku9DhDrDPZQ3HzzzZhMJu6880727NnD3/72N37/+9/z4IMP9m7zyiuvMHHixN6fx4wZw5QpU3ofgdnjVVVVFBYWAnD33Xdz9OhRvvOd77B//37++7//m7///e9861vfiu4bjBOUjst9iYpQRyFL7fSlq36OaKF2xhqUzVoHmLPyGuasvJbckhHIPh+nD+5l52v/x+H336Cz/pSi5+qL2uUh0D+DHes67HDiMsDhw4epqamhoaEBu91OTU0NNTU1uFwuAJYtW8asWbO444472L59O9XV1Xzta1/jsssu65e9jjVx01LP4XDw3e9+l5tuuonMzMEl4tFHH+XHP/7xsMeLllAnSpY6QFSy1aB+xhrOinUUMtcAtLdTke2hIruLNruO6oYUtjeaaXfoWXM8jXUnU5mU72RGoZPyTE/Q2Wv/edRpy9cXrWWws7KyeO+997j33nuZPXs2+fn5PPLII/3aNnV2doZcb1dZWclbb73Ft771LX7/+98zcuRInn76adFObwCUjst9ERnq0IlGthqik7GGs7XWSmSuJUmiqGI0RRWj6Wis50jNVhqOHaa59jgyMpWjK2lTKEM+GNHIYINfsm16j2rHH4pw4/JXvvIVPvzww96fZ86cCfjXDaioqECn0/HGG29w3333sXjxYtLS0li5cmVv61OtIMlysIssq4skSbzyyitce+21573mdru5/vrrOXXqFB988MGQwdvpdPZr+2K1WikrK+NI4wEyMjOimp2OulDbO9m+q5XX3znFuNEZ3Hz9aFVOExWpDqC2WAdQUazPRe7TVsjlhV3NZrbUp9BsO/sdN9vsZWqBk6mFTvIsvjDPo55g98Vqc5F7+//R2dlJZmYmVquVrKws2lbdRGaqKaR9BdpC7bjcceS/ycw4P7MWNaGOUi315u09vP1GNZWji7jhpoWqnisaUt2XaMh1AKXKQgL0dHZwbGc1RaPGUFBeAYC9y8qBzR+TNbqKzKLSfiUkaqGGYNu6u7hj3jgRl6OM5jPVbrebG2+8kRMnTrB27dph/4HNZvOgxfQJXe5h74zaqaKWrYboZKwhKlnrAOcuIjO72MmsIienuwxsbzSzt9VEh1PPR6dS+ehUKiMy3EwrcDI534XFGPx34GjUXwuSEyXjcl+imp1O0MmJ0cpWB4hW1hqUrbcGSMvKZsqipf2eq92/m9MH93H64D7SsrLJGzuJgrFVmCzqlcBFK4MtUB9NS3UgcB86dIh169aRl5cX9rFSDa1A9OraEq3s41wSUqwhJnINQHs7IzM9jMz0cPnoHg60mdjVbOZIu5HTXf7Hu8dkxuW4qcpzMi7XTYohPMEGIdmC8FEyLvdFlHsoR6KLdQClM9cARRVjcfT0UHd4Pz2dHfRUf0Lt9k8pKKsgs3wseRVj0enV6X0NQrDjnZhKdXd3N4cPH+79+dixY9TU1JCbm0tJSQk33HAD27Zt480338Tr9fY2Ds/Nze23Wo/WSHShjgmByYsJKNfQP3tt1MOUAhdTClx0uyR2N5vZ2WymscfAgTYTB9pM6CSZ0dluJua5GJ/rIi2EDLb/fCKLLRiYaMflmMh0gmapY0lgAmM0y0GUrLkOkFVQyLQllzFp4cXUHT5A7b7ddDTW03TiKK11tYydOAG9wUib3Y0sy6qWh5w7uVFItvaJqVRv3bqVSy65pPfnwOzQ2267jR/96Ee8/vrrAMyYMaPffuvWrWPJkiXRGmZIJJNQRzVbHSCaWWuImVyDX7DTTTIXjHBwwQgHjT169raY2N9qosVu4HC7icPtJiRkRmV5egU7yxxaDbYQbEFfohmXpdQYyG2SCHW0s9UBopm1DqCGXBuMJsqrplJeNZWutlbqDu9H9snoDf5z5aQY+PifL5KWnUNG+ViySsrQG9RVKiHZ2iemUr1kyRKGmiepkTmUQZNMQh1Toi3WEHW5hvMFuyjNS1GanUtG2Wm26dnf6hfshh4DxzuNHO808s7RNApSPYzNcTMux8XIDA/6EBpnijIRQaLF5X4kiVAHSCaxBnXkGiAjN48J8/pPMO1qa6GzuZHO5kY4tB+9wUB+WQXppRXklFVgTFG/tZ0oFdEemq6pFmifmGSrIfrlIAFiINdwvmAXpHopSLWzqMxOu0PH/lYTB1pNnOoy0GzzPzaetmDW+xid7WZMtpvROe6Istj+cwvJFsQpSSbUsSYW5SAB1JLrvmTk5nPhdV+g7vABGo4dxtHdReOxwzQeOwySxMT5F5EzcYZq5z+Xc7PYNnUWjRQMg5BqhUjmLHXMxBpik7WG/ovHxFiwc1J8LBjhYMEIB3a3xJEO45nSECN2j459rWb2tfo7L+SkeKnIcvc+0k3h12L7zz+4ZEvZmUhpQ9fYSiZXSOcXCOIZmehn+WOVrQ6gBbkG5QVbkiRyikvJKS5l0sIlWFuaaTx+mMbjR7C2NJORm0/umfO3N9RxaGcNWaVlZJWUYUpNU3QsA5FtGVjvRFxWFyHVCpDMQh0g5mINsZFriFn2Gs7pIAJY2tt7Jzn6ZKjrNnCk3cjRDiOnuwy0O/S0O/Rsb0wBIN/ioSLLQ0WWm/JMN2lhSLYIwALNk+RZ6liLNcSuJCSA2oKdVVBIVkEh4+deiK3Lijn1bAu+xuNHaD6yn+Yj+wF/lju9eCRZpWVkFo1Ab1RvtUVBdBFSHSFCqM8SU7EG7cg1xESwob9k64GRUjsjMzxcXG7H6ZE4aT1bf93Qo6fFbqDFbmBrg1+yc1O8jMx0U5bhoSzTQ77FG9LKjgKB5khyoQ6gFbGG2GSt+6J2W77UjP539IorxyLLMi2nTmJtaaKrrYWuthbq99Yg6XQsuel2HEZ/9lrtjiICdRFSHSZCpgcm5mINsZdr0IRgQ3/JNre3My7Xzbhc/0XE7pY4YTVyvNMv2s02PW0O/2Nnk3+fFIOPsgwPIzM8lGZ4KEn3YAmhP7ZAEFOEUPdDC2IN2pFrUF+wAbKLSsguKgHAZbfTcvokLadO0HLqJB63C0tGFqlnRLrm/bextjaTVlBKRlEpGYUlmNOit8aGIDKEVIeBEOqh0YRYgzbkGjQp2OAvFZmY52Jinr98w+GRONVloNZqoNZq5HS3AYdHx6F2E4faz9bg5aZ4KU33S3ZpuodURPmHQGMImR4UrYg1nJVrSB7BNlkslI6dQOnYCciyjMth75eZbq07haO7i67WFhr27wTAnJZGWl4RGUWllE6eqcq4BMogpDpEhFAHh2bEGrQj16AZwYYBJBsYa2hnbI4bsOP1QWOPntoufz12Xbe/JjuQzd7d4p/8OCpV3KoUaAgh1MOiJbEOoKXsNURHsCVJwnzO8ucXXX8zbfWnex9drc04e3pw9hzFa+9hypx5vdvu/PQTDOYU0vIKSMvJR6dyn2zB8Ih/gRDQrFDbO2M9ggHRlFiDtuQa+gs2xFyyob9oG4BSXTulGd7e52xuifpuv2DXdRuo6zJQmuGJwUgFggEQQh00WhRr0J5cQ3/BBnVb9ZlT0ygZM56SMeMB8LjdWJsbaW9qwGg2927n9bg5tWMzss/fJlWSJNJz80jJKSAtrwB9aoZqYxQMjpDqINCsTMcBmhNr0J5cB9BQFjvAudnsNGCMsZ0xOf6LiixDZ48o/xBoACHUIZNm8F/btCzXoC3BhuhKtsFoJLd0JLmlI/s97/N6GT1jDtbmRjqbm3A57HS1ttDV2kLz4X3klJapNibB4AipHgYh1JGjSbGGs3IN2hZs0IxkQ3/RlgC9yTnwdtnZSOnmAV/r3cY48L4CQdDEgUxrvZuDVrPWAbQs2BBdyQ5gNKcwcf5FgL9jiKOnG2tzk3+Vx5Ym0vOLBtxPxGV1EVI9CEKmlUWzYh1Ay4INmpZsgSBmxIFQ27z5wMlYD2NYtJy17ovWBRvOl2xQV7QlScKSnoElPYOiyjEAdHeJ1W9jgZDqcxAyrR5SWjaAtuUatC/YcL5kgxBtQfIQBzIdr2g9a92XeBDsANEWbUFsEFJ9BiHT0UPzWeu+xINgBxCiLUh0hExHhXjJWvclngQ7gBDtxCPppTruZVqjnT+GI26y1n2JJ8EOIERbkAgImY4J8SjX0F+wIX4kGwYWbRCyHS8krVTHvUwnCHGVte5L+jlBOl4kGwYWbRCyLdAeQqY1QbzKdYB4luwAQrbjg6SSaiHS2iQus9bnEs+SHUDItuIcPXqUDz74gP3799PZ2UlGRgalpaUsXLiQuXPnotPpYj1EbSJkWpPEu1wHOFeyIT5FGwaXbZN74OcF6pI0Up2qb8XfZVegVRJCrgMkgmQHGEy2YWjhzsmCjJShj210hDMizbNhwwZWrVpFUVER8+fP5/Of/zxZWVnY7XZaW1v5+OOPefrpp5k+fTr33HMPer0+1kPWBkKm44JEkeu+JJJoD0kSx+UAaiY7kkaqE5I4racejoBcQ4IINpwv2RDfoh0gNzvhA3CorFq1iqysLJ5++ulBt1myZAkAhw4d4te//jX33XcfaWlJ+qU/gUXa304vcQnINSSWYAdIGtFOEqKR7BBSLdA0CZW9PpeBRBsSQ7aTmJUrV1JUNPDCC+cybtw4vvOd79DW1pacUm3JjPUIBAqR6IIdYCDRBiHbWidayQ4h1YK4ICGz14ORqFntJOFcof7Xv/5Fbm4uS5YsweFw4Ha7ycjI6H1dp9ORn5+4EiJIPpJFsPsymGyDEG4tEK1kh5DqeCVBSz+CIakEO8BgWW0Qwq1xNm/ezPjx41myZAkGg4E33niDvLw8Lr300lgPTSBQnWQU7HMRwh17opXsEFItiGv6CjYkkWT3RQi3ppkxYwbp6ek4HA5SUlL43Oc+x3PPPRfrYQlUJtHrqcOhr2BD8kp2X4YSbhDSrRZqJTuEVAsSiqTMYg/FUMIdQIi3qnz66ac0NDTw0EMPkZWVxdSpUzGbzdx2222xHppAEFPOlWwQon0uw0l3ACHfoaFWskNIdTySxKUfoXBuFhuEaA+IEG9VmTdvHjfffDMA9fX1vP3222Rmigl6yYgsx3oE2keIdnicK9+ysStGI4kP1Ep2CKmON4RQR4QQ7TAZSrxl+yD7ZEO6ZejjDrZvApGfn8+7777LihUrKCkpISUlhZqaGm644YZYD00giAsGEm0Qsh0WIi4D6iU7xHJe8YQQalWQ0rIHfAgESrB8+XJmzpyJw+Hv552SkkJlZWWMRyVQE1FPHR3SDC2DPgSCoQgkO4B+yY5IEZnqeEEIddQZSqxFdlsQCoWFhb3//9nPfjaGIxGojRBqbRCMWItMd/KyfPlympqaemuqlUp2CKmOB4RQa47hMtlCugUCQQBJivUIBAMRbEZbyHdiokayQ0i11hFCHZcEUz4ixFsgSCxEljoxCbWcREh48iKkWqsImU54Qq3bFhKeGNTV1fHXv/6VsrIyxo8fz5w5c2I9JIHqiFR1MhFJTbcQ8tigVFwWUq1FhFALBiCSyZNCyLVDdXU1q1ev5sMPP2T37t1s2rSJ+fPnx3pYgggQGWqBUig1ydJr6FbkOMmCUnFZSLVWUEikHQ4fAEajaOwiOIuS3UyCFXQpNQspLXXobbwmBUakbTweD263G4vF38Zq8uTJfPjhhwBMmTIllkMTKEAwQu1yugEwGERcFsQWEZcH5qqrruKqq64CIovLQqpjhUrZ6NZ2JwC5OWZVji8QnCvoyRiAQ+Hhhx8mJSWFG2+8kaqqKtra2jh+/HjEy+EKYkso2en2dn/WMDsnXa3hCASCEDg32XHs2DFFun+Ir83RwN55/kMl2s5IdZ6QaoFAE0yfPp0f/vCHvdnpOXPmUFtbG+NRCcLB5s3vfYRCe5tfqnNyhVQLBFrg4Ycf5le/+hX79u0DoLW1lbVr10Z8XCHVkTCQLEdRoAeiVUi1QKApdu/ezfHjx8nLy+t9ThI91uKCvhIdSd10e1sPIKRaINAKAyU7Tp06FfFxk6/8I4EnAbrdPqxd/to9IdUCgTb41re+xWc+8xmcTidbt27FYDDg9XpjPSzBGdSeZOjzyXS0i0y1QKAlBkp2KEHSSHVXSyuSM7HXs29t82epU8x6LBb9ea+73T4cTnExFyiLU/xODUleXh4bNmxg9erV7N+/n6qqKj7zmc/EeliaoK3dgcej3A1Tuy8njL2C75IgndsaT+r/vzqdhKTToZMkdDr/o6vLjs8no9fryMy09NtdlmVsNicOu/vscQa4iaHqnQ2VDn3eZxXazqoQ0WFjdHcp3LM6HC5Fx5FoqJXsSBqp/uPT+0lJSYn1MKKCw+nlo0+bsHa5sXa5zvzXjd0h5EegPFMniezbcOj1eq666iouvvhiXn75Zdrb28nJCUcAE4v/+Z/qpInLXq+PTz7ah7XTjtVqo8tqx9ppw+v1xXpoggRk/MTiWA9B06iV7EgaqZak5FgqVpb9/123oWHQbZLhcxBEj1j+OsmyzA9/+EP+/Oc/09HRwcKFC3nyyScZN27ckPs98cQT/PrXv6ahoYHp06fzhz/8gXnz5g14/CuuuIJ33nmHV155hWuvvTbkMT733HP885//ZMKECVxxxRXcdtttPP3009x9990hHyvRMJkMmEzauQzJIW0sn/ejLMv4fL5zX+rlk4/2D/h8SorRH5j77Cif9z+DDCO0UZ+7czR3O7PzQHtHdERFGOzfLF4xGZwxO/fOnTu599572bJlCwUFBdx333185zvfGXKfkydPcs8997Bu3TrS09O57bbbePTRRzEY/PGhvr6eb3/722zdupXDhw/zzW9+k8ceeyyicaqR7Ag5mq1bt45LLrlkwNdWrVrF7bffHtGA1OJ735xKZubQvRkTge27Wnn9nVNkZRqZPjmXzAxj7yMrw4TZrBOTpLSEJSvWI4gYq7Vn4BcsmWBJG3pnd2RC9atf/YrHH3+c5557jsrKSh5++GFWrFjB3r17B82A/u1vf+PBBx/kqaeeYv78+Tz22GOsWLGCAwcOUFhY2G/bxx57LOK/lxMnTvCzn/2M3bt38/TTT3PHHXcwb948RaU6XuPyPfdfQWZm4t3pkGX5jGD7Hx+v38fWTYfIL8xkYtVIMrNSycy0kJGVSkaGBb0+Nj0DUvXKLDQi0B6xistWq5Xly5ezbNkynnrqKXbt2sUdd9xBdnY2d91114D7eL1errzySoqLi/nkk0+or6/n1ltvxWg08vOf/xwAp9NJQUEBP/jBD/jd734X9vgCqJXsCPmTu+yyy/jWt77Fz3/+c4xGI+BvRfLVr36V1157TbPBO9kozE/hkosS8PZPAkioQBlkWeaxxx7jBz/4Addccw0Azz//PEVFRbz66qt84QtfGHC/3/72t3z1q1/ly1/+MgBPPfUUb731Fs888wzf+973ererqanhv/7rv9i6dSslJSVhj3PUqFFMnTqVqVOnctNNNyHLsuJfbEVc1haSJCFJErozrpyS4v83KR2Ry4KLJqp6biHKgljywgsv4HK5eOaZZzCZTEyePJmamhp++9vfDirV7733Hnv37uXf//43RUVFzJgxg//8z//ku9/9Lj/60Y8wmUxUVFTw+9//HoBnnnkm4nGqlewI+euxz+fjt7/9LfPmzWPPnj2sXr2aqVOn8uqrr/YG82BZv349V111FaWlpUiSxKuvvtrvdVmWeeSRRygpKcFisbBs2TIOHToU6pAFWsGSFflDkJBYrdZ+D6dz+FuXx44do6GhgWXLlvU+l5WVxfz589m4ceOA+7hcLqqrq/vto9PpWLZsWb99bDYbN998M0888QTFxZF9OR03bhw/+9nPqK+vB9SZdCbisrbR6fz/5j6vcjUGqfqWAR8CgVKEE5c3btzI4sWLMZnOLgoWuBPY3t4+6D5Tp06lqKio3z5Wq5U9e/ZE/kYGIJDsuOmmm3jhhRc4evQof/vb3yI+bshS/frrr1NcXMyOHTuYPXs2V111FQ0NDUybNo1NmzaFdKyenh6mT5/OE088MeDrgVu7Tz31FJs2bSItLY0VK1bgcDhCHbZAbYQQCyKgrKyMrKys3sejjz467D4NDf55A30DceDnwGvn0tLSgtfrHXafb33rW1x44YW9GfBIePzxxzl8+DDXXnstEydO5LbbbuOll16K+Lh9EXFZ2+jOlHf4fOFPShTyLIg24cblgeJr4DWl9okUtZIdIZd/fOYzn6G6upqZM2fS1NSELMvMnDmTjRs39vtmEgwrV65k5cqVA74W7q1dgcoIORaoQG1tLZmZmb0/m83n91l/4YUX+NrXvtb781tvvaXKWF5//XXWrl3L9u3bFTnelVdeyS233AL4M+AbN25k7969ihw7gIjL2qY3U+0LLVMt5FkQS4KJy/HK448/jsVi4dprr6Wzs5P58+ezcuXKiGNYyJnq9evXc/HFF9PU1NRr9jU1NSxbtowjR45ENJi+hHNrF/zF7OfeshBEiMg2C1QmMzOz32Og4H311VdTU1PT+8jP9y/a0djY2G+7xsbGQUs28vPz0ev1Q+6zdu1ajhw5QnZ2NgaDoXf2+fXXX8+SJUtCfm85OTm92ZbU1FSWLl3KfffdF/JxhkLEZW2jO1NcHWz7PJGNFmiBYOLyuRQXFw8YXwOvKbVPpFx55ZU8++yzbNq0iW3btnHrrbfS3Nwc8XFDlupLLrmEQ4cOMXr0aD7++GNeeuklsrOz2bBhAzNmzIh4QAHCubUL8Oijj/a7XVFWVqbYmJIOIdICDZGRkcHYsWN7H5MmTaK4uJj333+/dxur1cqmTZtYsGDBgMcwmUzMnj273z4+n4/333+/d5/vfe977Ny5s5/AA/zud7/j2WefDXnc7777LlOmTOG2227jz3/+M/v27Qv5GMMh4rK20fdmqoeXaiHTgoiwd555xOaL64IFC1i/fj1u99kFjdasWcOECRMGbVe3YMECdu3aRVNTU799MjMzmTRpkirjVCvZEbJUy7LMV7/6VWpqapg/fz433ngju3btYunSpdhstogHFCnf//736ezs7H3U1tbGekjxhchKCxTC5s3D5s0f5hH+ErGSJPHAAw/w05/+lNdff51du3Zx6623Ulpa2q+f9NKlS/njH//Y+/ODDz7In//8Z5577jn27dvHPffcQ09PT283kOLiYqZMmdLvAVBeXk5lZWXI4xw3bhwnT57ky1/+Mg0NDdx///0sWrQo7Pc9ECIuaxvpjFTLw5R/CKFOcnqFOILHMKgdl2+++WZMJhN33nkne/bs4W9/+xu///3vefDBB3u3eeWVV5g48WwXnOXLlzNp0iRuueUWduzYwbvvvssPfvAD7r333n7Z8UCSo7u7m+bmZmpqasIupVMr2RFyTfWrr77K1Vdf3e+50tJS1qxZw+OPP67IoOBsyr+xsbFfO6vGxsYhMy9mszmh6n6iihDppMbmzQ9zv9itiPed73yHnp4e7rrrLjo6Orjooot45513+vWoPnLkCC0tZ2Xl85//PM3NzTzyyCM0NDQwY8YM3nnnnfOyr0rxhS98gVdffZVrrrkmrPKRYBBxWdsEs2S3EOoEIwjBTUSysrJ47733uPfee5k9ezb5+fk88sgj/drpdXZ2cuDAgd6f9Xo9b775Jvfccw8LFiwgLS2N2267jZ/85Cf9jj1z5sze/6+urubFF19k1KhRHD9+PORxBpIdmzdv5qOPPuL+++/Hbrfz0Ucfhf6m+xCyVJ8buPvyzW9+M6LB9KWysrL31m4gWAdu7d5zzz2KnUdwBiHUCUO4chyPSJLET37yk/OCb18GCrjf+MY3+MY3vhH0eeQIllsrLCzk5ptvDnv/YBBxOb4RQh0nJKkoh8q0adOGlNPbb7/9vN75o0aNYvXq1UMeN5I4fC5qJTtis4zTGbq7u/vVLB47doyamhpOnjwZ9K1dgQIIodY0w9+q6/8QxJ7f/e532O323p8DFwOr1cpf/vKXQfu1agERl9UjwVbCThwUKq0QaJu+cbmwsJCbbrqJtLQ0rFYrzzzzjCJxObI1giNk69at/ZbWDdTc3HbbbaxatSqoW7uCCBFCHVOEBCcmer2ezs5OLBYLX/rSl9i+fTtz587lpptu4tZbb+Xpp5/WbGZXxGUVGKL6Q2Spo4AQYgFDx+VbbrlFkbgcU6lesmTJkOn8YG7tCgRaRkhzctK35GLRokU8++yzbN68mRdeeIH777+fCy+8ULNSLeKyIG4R8iwYgqHi8gMPPMCCBQviW6oFMUZkqRVBiLNgKG655RZee+01Vq5cycKFC2M9HIGGEFnqMBHyLIgQteKykOpkRQh1yAh5FgRLa2srPp+PgoICnnjiCR566KHe51988UU++9nPMmLEiBiPUhB1RFF16AiBHhK5p2Pg5232AZ8X+NHpdNxwww2KH1dIdTIihHpYhEAPTY/n7Odj8wzcKs3myUPvyRjyOIPtG+/s2rWL73znOzidTnJyciguLubCCy9kzJgx3HfffTz77LO9fbEFAsEZhED3YzBhjoRkjst9kx1/+MMf+iU7XnjhBa6//vqIkx1JI9WyrRMyU2M9DIEGEQLdn77CLAiPJUuWsHnzZrq6uvj617/OwYMH+ctf/sLx48eZOnUqFotFSLVAICRaFXEWDMxQyY5vfvObiiQ7kkaq4fxfXiktOybjiCkiS530Ei2kOXpkZGRw3XXX8dnPfhYAt9vNrl27GD16dIxHJog1SVlPnaQSLcRZG0Qj2ZFUUn0ugV/0pJTrJCIZJVqIc2xwOBzntZYLCDWA0Whk1qxZw+6TLARuRacZklAwk4UkEWkhzvGDmsmOpJbqAH3/GIRgJwbJItJCnrWF1Wrlv//7v/nqV79KRsbQdYsAW7ZsYffu3UlfCtL391gIdgKQ4CItBDq+iGayQ0j1OYjsdfySyCIt5Dk+KCws5K677uLXv/41NpuNRYsWMXPmTPLz8zGbzXR2dnL69Gk++eQTdu7cySWXXJL0Qn0uQrDjmASTaSHPiUE0kx1CqgchIeU6AeupE1GkhUDHN+np6fz4xz+mpaWF9957j1/84hfU19djs9nIy8tj7NixXHLJJdx5553o9fpYD1fTBP4WhFxrmAQS6YSR6O526HbEehSaIZrJDiHVw5CQch3nJJJIJ7JAd7uzkdyZw2yTuFKZn5/PzTffzM033xzrocQ9iSLX8plG1QkxSTHOZTohBLq7PfRdkjQuRyvZIaQ6SIRcx55EkOl4l+hud84AzyVeAI4Gp0+fxuPxMGrUqFgPJW6IV7mWJCnWQ1COOJXpuJboMORZMDBqJzuEVIeI3NMhxDrKxKtMx7NADyTPAmW48cYbSU9PZ8qUKTidTr7//e/HekhxR7zKdVwThzIddyIt5DlmvP3227z77rssWbKEa6+9NuzjCKkOA5G1jg7xKNPxJtJCnqPPXXfdxbJly9i9ezebNm2K9XDimh5PvhBrtYkjmY4riRYCrSm6urp46KGHWLNmDb/97W958MEHwzqOkOoIiKusdZxNUowXoY4niRYCrQ0OHDhAfX09S5cuTdr+1EoistYqEgdCHTciLSRakyxZsoTx48ej0+mYM2cOt99+O//+97/DPp6Q6ggRWWtliQeZjheRFhIdO+666y4++9nPcvnllyPLcr+a2nvvvZe///3v/PSnP+XKK6+M4SgTCyHXCqJxmda8SEdZoN0emaYOH/WtXhravNS3eako9EZ1DPHAQHH55ZdfJj8/n127drF69Wrq6upYtGhR2OcQUq0QcZW11iBal2mti3SsBNrjduN2OWNybi2Tk5PDhAkTAPjNb37DQw891O/1G2+8kRtvvDEWQ0t4RElIhGhUqDUt0lGUaK9PprHdx+lmL3VnJLqpw4cs99/OqBNSfS4DxeWCggIApk2bxrRp0yI+h5BqBRFiHR5aFWoti3Qss9DtzU3sr9lGa2MD7S3NjJ82M2Zj0SoXXnghK1eupLCwEIPBQHZ2NpMmTWLy5MlkZ2fHengJjxDrMBAyHTxRkmhZlrHaZE43eznV4uV0sz8L7RnAl1PNEiWZPkqyoCRLJs3gjsoY44loxGUh1QojxDp4hEwHTywk2t7TQ1PdKZrrTjOicjQl5RUAOO12Du3a0btdc8vA8tLmcOMyDh3Yux2JGfivueYarrnmGo4ePcp//Md/0NTUxLp169i3bx9Wq5WJEyeyePFirrnmGiZOnBjr4SYkQqxDQGNCnawiLcv+Mo6TjV5ONnk42eilyy6ft12KCUZkyZRmQ2mWTEkWZKRA386N1u6BzyHisrpxWUi1CgixHh6tCXWyi7Qsy3S0ttBcd5qmutM0nz5FV2dHv21MBSP8/5OVx+gZc8guLCa7sBjPufcdBb2MHj2ab33rW8ybN6/3Oa/Xy8GDB9m1axfPPfcc+fn5fPvb347hKBMXIdZBoCGh1pRMR0GifT6Z+jYfJxs9nDgj0g5X/20kCYpzdIzI8DIiR2ZENuSl9RdoQWioGZeFVKuEEOvB0ZJQa0mmoy3RbpcLk9nsP7e1kzeef+a87TJy88kpLiW9uKz3OaPJTNWCxb0/d3dZ1R9wHNM3cAPo9Xqqqqqoqqri+eefZ+ZMUT6jJloTa02tpqgRodaMTKss0rIs09bl42idl6P1Ho43eHCekxQ2GmBkgZ5RGW7Kc2FEDhj1PlXHlYyoFZeFVKuIZsRaQ+30tCLUWpHpaIm0LMt0dbRTf/IEDbUnaaw9SeGIkSy5+joAnMZUUrOysaRlkFNSSk5xKTlFJRjNouWbmjz88MOkpaXFehgJj9bEWhNoQKg1IdMqi7TN4eNYg5ejdR6O1nvo7Ol/Zy/FBOWFBsozXIzKheIs0OuERMeSSOKykGqV0YxYxxgh02eJZka69shhTh09zOnjR7F1dfV7ram+jhabC0mSkCSJJTd9ObGWU44D5s+fH+shJA1CrPsQY6GOuUyrKNKyLNPS6ePgKQ8Haz2cavH268yh10FZoZ7R2W5G5/slWie5Bj+gIOpEEpeFVEcBIdaxJ9YyHQ2RlmWZ7s5OMvrMYt61eSMt9XUA6HR6sotLyB9RRt6IcrILi/tJtBBqQaIjxJqYCnWiyrTXJ3OyycvBWg8HT7lp7+qfjS7M1lGZ42V0gcyoXDAZRCY6UUkeqe7uAMkB6WJBjGgTyyx1LGU6GiLt8/lorjvNycMHOXn4ILauLj5/zzcxpaTQandTPK6KtLxCCssrySsdid5oVH1MAoGWSWqxjpFQx1SmVRJpn0/mWIOXPcfc7K9195tgqNdBRbGeCbluxhVBliW6Ei23tyP3iOx3LEgeqQ7Q3R4TsU7WbHWshDqRZdrn9dJw6iQnDx3k5OFDOGw9va/p9HqOn64nr3QkAKMmT1d1LEPRbnfjGqZXao89MVs3CbRNUop1sgm1CjIty/6M9J7jbvae8GBznM1Ip6ZIjBthYEK2k9EF0c9Gy+3BvV8Rl9Ul+aQazv6xRVmuk02sk0moo1knfWj3Tja9/17vzwaTmaKKMRSPHkvByFFRyUa39Qm6IgALwqXbnY3kziTdGN1lnZOOGAh1osi0LPvb3u0+5mbvcTdWWx+RNktMGmVgUp6T8lzQSdFbxTBYiRZEl+SU6gAxylonA7EQ6kSTaVmWaWtu4uje3RSWjmTUeP/yqumlozBbUimqHEPx6HHklZah0+tVGwf0l2iBQGm63TlRF+ukzFZHiagLtQpZaYdLZudRN9sPuWhsP5t1NhthYrmRyXlOKvNBH6XlwIVExwfJLdUQdbFOhmx1Mgi1mjJt6+ri6P69HN27m45W/0W/qbGR9LLRAKSkZ7D0tq+pPrFQiLQgmgixVokoZ6mjKtQqZKVrm7xsO+Rm7wl373Lgeh1MKDMwpcDF2AIw6J2KnnfQ8QiRjjuEVIMQ6zgmkWT6xKEDHNxZQ/2J473P6fR6iirGMHLCpH7bqiHUQqIFsSbw9yXKQRQiikIdzzJtd8rUHHGx/ZCbls6zWenCbB0zR3iYNgIspuhM/BMiHd8IqQ4QozrrRCOaWepoCnU0aqb3b6+m8VQtALklIxgxvoqSMeNVXYBFiLRAi0Qza52w2epEFGqFZbql08umfS52HDmblTYaYHKFkVlFTkZk+1RfDlxIdGIhpPpcopS1TsRsdSIKtRoyLcsyDbUnOFCznfnLlmNJTaPV7qZs6izSC0sor5pCama24ucNIERaEA/EohxEEDrxJtSyLHO8wcvGvS4On/b0Pl+Uo2POBBNTsmyYjeqWdwiRTlyEVA+EmMAYMtES6niWaZ/Xy7ED+9izdTMdLc0ApOYXMmbmPACKKsZQVDFG8fNCbES6w+7BpR/6vDa7Z8jXBclNtMQ6WtnqvivrqUqUstRREWoFZfrgKQ8bdrk43XJ2cuGEMgPzR7oYletDktSNR9GQabnd6v+vbeByFRGX1UVI9WBEQawTMVutJtEQajVk2uvxcGTvbnZv+ZTuTv/FTm8wMHLCZIoqxip+vgDREOl2m1sEYIGqJJpYJwLxKNPrtjtp6vDXSxv0MHOskfmlTnLT1K2VjqZIC2KPkOqhEBnroIhGljqehfq1VU/TbfXLtCnFQuX02YyaPE2VWuloibRAEE1EKUgIqJyljiehPtHo4f1tTk41+zPTZiPMmWBifomDdLN6JR5CpJMXIdXDobJYq56ttmSpd+woobZQKy3TXo8HvcH/p6U3GMguHYnH62X0jDmUV01VZXEWtWVaiLQg1kRDrEW2emhUF2qFZLqx3cvabU4OnamZNuhhfpWJC0sdWEwORc4xEGrLtBBp7SOkOhhExnpQ1M5Sx5NQez0eDuzYxq5Nn7L8czfhS88GoGrBYvSLjej1yv65CZEWJBsiYz0MMVqKXBEUEOr2Lh8f7HCy66g/dkkSzBpnZHG5k4wUdWRaiLSgL0Kqg0WIddRRU6iVlGlZljl+YB/bP17fWzO9e0cNkxYuAfwlH0qipkwLkRZoHSHWsUG1LLUCMu10yXy408nm/S58Z9pMT64wsKTCRV66OmUeasq0EOn4RUi1BojXCYtqZqnjRagbT9VSvX4dLQ31AJjT0pgwd+F5i7VEihBpgeAsaop13JaAqJil1qpQy7LM7mMe1lQ76Lb7W6uMLtFz6Rg3pdnqTEBUS6aFSCcGQqpDQWSro4JaQq107fQn773N4d07AdAbjYyZMZfK6bMxKFgzrZZMC5EWxDsiYx0dtCrU7V0+3txo51iDfxJiboaOFfPMjLP0KDG684g3mfY22VU5rmBohFSHikpiHW/ZarWy1PEi1ABZuXkgSZRXTWX83AWYU9MUO3YiyHSr1Y7NO3SIsfeIwC8IH7XEWulstdqr8qmVpVZFqBXITm/Z7+b97Q7cHv8kxEVTzSwosWPQK9/eUw2ZVk2kG23DbiPisrroYj2AuEThpVIFfrQu1Nb2NlobGwBotbspnDiNRZ/7ElMvXqaYULfZ3YoLdbvN3ftQkpZOOy2ddlqtsQvAsizzyCOPUFJSgsViYdmyZRw6dCjo/X/xi18gSRIPPPBA73PHjx9HkqQBHy+//LIK70IQCWp8YRZoU6hbOr2sesfGO1v8Qj2qSM/dV6WzaKQdg16hMZ5Bbm9XXKjldqviQu1ttPU+tEI4cXn9+vVcddVVlJaWIkkSr7766pDb33333UiSxGOPPabcwBVASLUgZNTIUmtZqH0+H3urt/DG88/y0eo3aOryBy+dXk9mXkHExwd1ZVpJAiLd0qmNTMavfvUrHn/8cZ566ik2bdpEWloaK1aswOEYfqb/li1b+J//+R+mTZvW7/mysjLq6+v7PX784x+Tnp7OypUr1XorAkF4qJCl1ppQy7LMtkMu/vRmD7XNXkwGuGJ+CrfOcZPrUVZSlZbpgEgrKdNaFOm+hBOXe3p6mD59Ok888cSwx3/llVf49NNPKS0tVXLYiqBpqfZ6vTz88MNUVlZisVgYM2YM//mf/4kczlqv7QoHHhWy1VFpqp9EKCHU1vY23v37i2z9cC1erwdTWgYel3KiGg8yrTWRDiDLMo899hg/+MEPuOaaa5g2bRrPP/88dXV1w2Y5uru7+eIXv8if//xncnL6/57o9XqKi4v7PV555RVuvPFG0tPTVXxH8YGicVkh1MhWR2PBqaQhguul0y3zygY7b2504PH6JyLec7GPOQU2Rctq1JJpJdGySAcINy6vXLmSn/70p1x33XVDHv/06dPcd999vPDCCxhVWPMhUjRdU/3LX/6SJ598kueee47JkyezdetWvvzlL5OVlcU3v/nN0A/Y1gG52coNUExcVASlL15KXGBlWWbf9q1s37Dev5iL0cikCy+mrGoqkgKRXI2aaTWy0lrm2LFjNDQ0sGzZst7nsrKymD9/Phs3buQLX/jCoPvee++9XHnllSxbtoyf/vSnQ56nurqampqaoDIoyYDicVkhxMRFZVA8uROBUDe0efnnejutVh+SBJfONHNhiV1xmVYSNUQ6FLq8BnY5s8n0xqZneSRxeTh8Ph+33HILDz30EJMnT1ZiuIqjaan+5JNPuOaaa7jyyisBqKio4P/+7//YvHlz+AcVYh0RSpd+aFGonQ4H6177J02nTwGQN6KcaZcsJzUjM+Jjq5GVVpJYibTV2v9CZDabMZvNQ+7T0OCvby8qKur3fFFRUe9rA/HSSy+xbds2tmzZEtTY/vKXv1BVVcWFF14Y1PaJjipxOUnQSwq3eVO49EMrQi3LMtUH3by7xYHXB5mpEp9dbKHc0K3Y0BJJpr0yHHFnUOPI4ag7HRmJUm/khQjRjMvB8Mtf/hKDwRDTL+/DoenyjwsvvJD333+fgwcPArBjxw42bNgwZF2j0+nEarX2e5xHW4dKI46cZCoB0aJQA5jMZgwGI3qDkSmLlzL/qus1J9RqlXjEirKyMrKysnofjz766HnbvPDCC6Snp/c+3O7Q339tbS33338/L7zwAikpKcNub7fbefHFF7nzzjtDPleiomRcbnMo+6VQ6TKQZCoB0YpQu9wy//rIzupNfqEeN9LAXRd5NSvUatVLB0O718i6niKeaB/PP7vKOeLOQEaizNDDBHNXxGOJVlwOhurqan7/+9+zatUqRe4Wq4WmM9Xf+973sFqtTJw4Eb1ej9fr5Wc/+xlf/OIXB93n0Ucf5cc//vHwB1cyY50k2Wq1lySPhEgvprIsI8syOp0OSZKYtGQF490u0rKyIx6b0jKtJGqKdFuHkxT30DVvjh7/ame1tbVkZp794jJQNuTqq69m/vz5vT87nf59GxsbKSkp6X2+sbGRGTNmDHi+6upqmpqamDVrVu9zXq+X9evX88c//hGn04lef7aNwD/+8Q9sNhu33nrrkO8jmVA6Lrfa3eRZlKuNFGUgGiBMoe7o9vHSWhtNHT50EiydZeaCYuXKPZSWaaUIJSsty3DMncYWRx5H3Rm9z6dJbqaaO5ncXUeex4HVOfC1QotxORg++ugjmpqaKC8v733O6/Xy7W9/m8cee4zjx4+HfWwl0bRU//3vf+eFF17gxRdfZPLkydTU1PDAAw9QWlrKbbfdNuA+3//+93nwwQd7f7ZarZSVlQ18AqVLQQRBo2QGKFKh9rjdbFzzDgajkXELL0WSJMypqZhJjei4WpVpJURaluXebEFbR+TLAGdmZvYL3gORkZFBRsbZi4gsyxQXF/P+++/3Bmur1cqmTZu45557BjzG0qVL2bVrV7/nvvzlLzNx4kS++93v9hNq8Jd+XH311RQUKNPlJRFQIy4rLdZJgYKlH4pmqcMU6qZ2Ly/820aXXSYtReLGJRbKNJidjpVMu2SJ3c5stjryaPUG5FZmtLGbGeZ2Kjsa0buVnSwcrbgcDLfccku/Om2AFStWcMstt/DlL3857OMqjaal+qGHHuJ73/teb2H71KlTOXHiBI8++uigwTuYmh9VSJJstdaIVKhtXV2se/1ftDY2IEkSJVXTyciLXPi1KNSRyrQs+3A1n8Jx8gDutAKkkomKjCtcAv2lf/rTnzJu3DgqKyt5+OGHKS0t5dprr+3dbunSpVx33XV84xvfICMjgylTpvQ7TlpaGnl5eec9f/jwYdavX8/q1auj8XbiBrXispJirWS2Om6XLY8FYQp1bbOH/3vfhsMFBdk6bl6aSpZTGXnVYnY6FJnu9BqpduSyw5mDQ/Z/6TdJXqabO5id0kpmSwdoaE55OHEZ/B2ZDh8+3Pv6sWPHqKmpITc3l/LycvLy8sjLy+t3LqPRSHFxMRMmTIjKewsGTUu1zWZDp+tf9q3X6/H5fMqdRIPZai2urqhk6YdSWepIhbq5vo4PXv8X9p4ejOYUZq34TMRCnYgy7XM5cJw6hKP2AD7HmSWAuzuRiyfEvLbtO9/5Dj09Pdx11110dHRw0UUX8c477/Srlz5y5AgtLaFL0TPPPMPIkSNZvny5kkOOe9SMyyJjHX0Uy1KHKdSHT3t4+UMbbg+MyNdz8yw3Fo0JdSxkut6Twqf2fA64MpHxx9lsnZM5KW1Mtp7G7PaBcol8RQknLm/dupVLLrmk9+fAna3bbruNVatWRW3skaJpqb7qqqv42c9+Rnl5OZMnT2b79u389re/5Y477lD2REqJtchWD4tWJv4c27+Xj99djc/rJSM3jzkrryE1MzuiYyol1FqRaW+PFfvxPThOHwHZ63/SYIKC0VA4JuZCDf6syE9+8hN+8pOfDLrNcLV2H3zwwYDP//znP+fnP/95BKNLTNSOy0qJdULXVitU+hFrod5zzM0rH9vx+WBMqZ7PTXNjUsBK4lmma92pfGzP51ifeulRhm7mWlqpaG9Ep3ADGTUIJy4vWbIk5F73Wqmj7oumpfoPf/gDDz/8MF//+tdpamqitLSUr33tazzyyCPKn0yDGWvB4ESSpT6wYzub3n8PgKKKMcxYuhKDyRT28RJNpgO0790KbbX+H9JyoGgc5JUh6TQdNgQqE424LDLWic/WAy5Wb/KvsDe5wsC1k1zoFehHpiWhDlamZRmOu9P4xF7ASU8aABIyk0ydXGBpIa+1DYZfJFagATR9dczIyOCxxx6L3truSoh1AmarlSr90ErZR2p6BpIkUT55OpMvuiSijKuWhDoSmZZlGVfzKQzp2XS4zshMyUTwefz/zSjQRGZaEHuiHpcjQKlsdSLWVccqSy3LMht2uVhX45/gPHu8kZXjnOgiDC/xKtOH3el8bC+g3uOfGK/DxzRzBxdYWvz10tpeQFFwDpqW6rhFAbHWYl11JGhFqAFSS0dx0Q1fIiMvP+ZCrQmZbjyB7cgOvN0d/rKOyjkASOm5MGFxxOMTCMIhIctAlGjOoPCCLxERRtnHuhonG3b5axgWTTWxpNwRccs8JYQ6mjIN/sz0up4iGrwWAAz4mJHSzvyUFtJaOqEnsrG4mzU0ezGJEFJ9LqIMRLOEK9SyLLO3egujxk/AafRnAzLzw2+RljAy3VyL7VAN3sCFUW8E4/ALogRLW4cds0s/5DZOmwj8gsERZSDqoEiWOgyh3rTvrFBfNsfMgmIF2nvGmVA3esyssxX11kyb8DIrpY15llZSmq0RTT50Nw0/BhGX1UVI9UAIsVYUJbLUkWSod376MTs2fsze7dUsvvHWmNdPx1qoXS112A5tw2Nt9T+hN0LxeCgej2QI7bNpbbeLACxQFSXEWlPZ6kQgDKHef9LNu1v8JR+XzNSGUEdTpju8RtbbCtnjygIkdMjMTGljoaU5KjItiA5CqtUiQWqrtbyKYjDs2ryRHRs/BqBi6sy4F2olJiFa606BtRV0BigeByUTkAzB93ZvbRcSLUg+EqWuWvHlyIPgVLOHf33kjxuzxxu5qDT+hTpYmbb59Hxiz2ebIxcv/pmYVaZOLk5t9NdMC5lOKIRUD4bIVmuGcLPUe7ZuZvuG9QBMmH8Ro6fPDnsMkQp1LGXaY20DSaLzTO0eJRMA2S/TIZR7CJkWxApRBqIhQsxSt1l9vLTWjscL40YYWDnWGVENtRbKPYIRap8M1Y5cPrIX4jyzaMsoQzeXpDVS2Noa0QREIdPaRUj1UEQq1hFmqxNhsmKkpR/hCvWRPbuoXr8OgPFzFzB21rywjhPP2Wmf00bPoRqcpw9Bej5M8i/BLhnNUD496OMImRZogUjFOiFKQCKcpBhxljpEobY5fLz4vg2bU6YkT8f1U13oImibFy/Z6Vp3Ku/1lNDk9SctCvUOlqQ2Mqq9ESmC1nhCprWPkGpBwlF/8gSfrHkHgNEz5jB29gVhHSdes9Oy14P9+F5sR3f5W+IBmFPB5wV98H/yQqYFAkG4uD0yL62z09blIztd4qaZnogWdokHoe7x6VlrK2a3MxuAFMnDktQmpnSeQucM/9xCpuMHIdXDEeNsdSyJtJ46VlnqrJxcsvPysWTlMPGCRWG1zYtHoZZlGVfDcbr2bwXXmSCclgujZiJlBP9vIWRaEC2621tJz8gMenuRrQ6faGapZVnm1Q12TjV7STHBTbO9pEfQWCiWQh1sqcc2Ry7re0s9ZGaY27k4tQlzc/jnFjIdfwipDgZRXx11Iun2kZqRwdyrP4dOr487oY6oq0fjSbp2+mvIMaVC2TTIKw/6M1BapjvbbJjsQ5/bZRcXjWRmx9p3KfjSnegNwYtyLOurE2WyYsiEWPaxYZeLfSc96HXw+UtSKTCGPxsvEqGORna62WNmdU8pdWcWbynW21mRVk9RW0vYvaYjlemeJhs2t3fA10RcVpekkWq5owPSi2I9jKRBqcVegkWWZVoa6ikoKaXV7sZoCr6bRV8iEepYTkZs7XAgmwsgPQ+ySqB0QtDLiUcq051tIgALwqO7vY29n6xn6uKl0TtnTLLVCqxGqqVFX4bgaJ2nd7XEK+anMCoOhTrY7PQWRx4f2grxosMkeVmS2si0GJZ69IjMdsxJGqkG/x+olBNmBjSSbHUEJSCJMFkxVMLJUu/e/CnbP17P+HkLGTd7fljnjZVQhyvTHmsrHQd2wJj5SDo9kqRDnrQ0pOx8JELd0Rrhkl8CAXByzw4KRpZTPHpc0PuIbiChEVHpRwhZapvDx6sf+2PKzLFGZuaFL3laFuoOr5E3u0dQ60kDYIyxi5VpdaS2hP/FR8h0YpA0Ui0rsTysICgiyVKHI9R1J46x/WN/2YM5NTWs88aTUMteD7bDO7Af3wPIYMmEkVMAolLqIWRaoBSVU2dSf2gfOz9YQ1ZhMZb0jFgPSRAmsizzxkYH3XaZ/Cwdl48LP12rVaGWZdjlzGaNrRiXrMeIl2VpjUzpPIUUZkgVMp1YJI1Ub28ysSQ9htnqOCNeFn3ptlr56K03ACirmkJ51dSQjxFPQu1qa8C682NwnrmlmlsGRWOD3l/ItEBL5E2eg62jjc7mRmref5sLrroBKciea5Fkq5NpwmK0stTbD7s5UOtBp4PPLrJgpCusU8ZCqIPJTtt8et7uLuWg2z+xdqShh8+kn/Yv4BIGQqYTk6SR6rXH06gqclCU5o1MrMMljruARItQs9Rej4cP33gVp8NOVkERky+6NORzxkKow8pOe9z0HNyKo/ag/wmjBSpnI+WMCGp/IdMCLaLT66hctJxdr7+Eo7sLh61H89nqpJmsGIJQt1q9vLvF34D50hlmihNMqA+50lndPQKbbECHj8WpzcyxnkAXZs/pcIVayLT2SRqp9srwrwPp3Dm9E5M+gox1EmWrwyGaExS3rl9Ha2M9RnMKs5Z/Br0htF/neBFqgNYdn0DLcf8PhWOgbBqSIbgl18MVaiHTgmhgycxm4mVXMbK0FIMpuN/pAElTW63hSYpen8wrH9lxe6CiWM+CkjD762tQqD2yxFpbEdWOPAAK9A6uSj9NfmtrWOcTMp34JI1UZ5hkWuwG/n08jSvGCFnQGqFmqVsa6jlQsw2AGUtXkpqZFdL+cSXUHQ5/zXRPu7/ndFZwXWyETAvihcyiERhM4clxuGKdDCUgYZd+hJCl/ni3i7pWHykmuGayO6wlyMMVajXrp7u8Bv7ZXUb9mVZ581JauDi1CakpvG4m0RZqW4sQ8ViQNFJ9xZguXjtmobohhSn5TsqzPNHPVodZAhJ2BxBLaKIZINx66mhmqfOKirlo5WdobGqhcFRl1M4bLaH2uRy4mmvpSSsDQDKnIU9dofpERCWFuqPNhtE89HjdThH4BX7a7G5yUgyc2LMDl83G+HkXxnpIgmFotXr5aKd/QuLKeRayLNr/Qh5MuUetO5VXukbSIxtJkTxclX6ayvZGCMOnoy7TzUPvJ+KyuiSNVFdkeZlZ5GB7YwpvHknnrhkdGHQRTlwUKEI4HT8kSSKrYjxZFeND3jfcLHU4Qh1Odtrd3kjn9g/BbYfxi5BySoHgOntEW6bbW2wiAAsU48SJE+z5aC1IEoUVo8kuLI71kJKPILPUsizz9iYHXh+MLtEzJSu8GBLNLHUw3T22O3NY01OCD4kCvYPrM05GdTKiWjItiA7BTbNOEJZV2Eg3+mi16/mo1hLZwdo6FBmTIDSs7W04HQ5awxRjLQu1LMvYju6kc/O7fqFOyQBz8C0CwxHqjtaesIS6vcVGu7i9KFCYzKIRlI6dALLMno/WIgfZCzXceBDJyq1aJ+JlyYdhz3EPR+u96HVwxUTtl30EUz/9dk8p7/aU4kOiytTJrVlHwxJqd5MtakJta7YJodYQSSXVKQaZy8/UU39y2kJjjx6IbIJEyIS43GuiE8pFzev18sHrr/D6c0/T3lAX8rm0LNQ+j5uumnXYDm0HZMgfBVMuQ0rNHnbf1nZ72EIdKkKmBWpTMmsheqORjqYGTh3YG+vhDEi0V4yNGkFenxwumfe2+ltfLJpmJjct9FNpSai7fAZesFaww5kDyCxJbeSa9FPow6ifDlemwxXqgWhPz8JuTgn5eILISSqpBqjKczExz4lPlnjzcDq+SBaFEdnqXqJxkdmzZRMdrS14vT7SskLLMGlZqL02K22fvImrqRYkHVTOhdHzkfTDT76KVnZayLQgWphS0xgxfR4ABz79CLczuEVEws1Wax4Ndv5Yt92/yEtepo4Lw+j2oSWhbvKYea5zNHWeVFIkL5/POME86wl8TaHFSC1kpx1GE5smzmT1BcvYMWZSyMcVRE7SSTXA5aN7MOt91HUb2Fzn/zYX1Wy1AAgtS93R2sLOTZ8AMGnhEkyWCMt3giBaNdTtdXVgt4IxBSZdilQ4etj66WhnpwWCaFJSNZ20rBycdhuHqj9V9VyJWAISVulHkFnqhjYvWw74Y+MVF6Rg0Id+qnBQQ6iPudL4X2slXT4jeXont2cdYVR7U8jniVZ2ejCZ9kkS+8vG8vrCyzlUNgZZkpClpNS7mJM0ExX7kmGSuazCxptH0vngZCoT8lzkpPjCm7SYYH2rtbiSoizLbFzzDj6vl4LySkrHTQxp/3Cy1NES6tYOB1J+BbLHDbkjkUzDf1kQMi1IdHR6PWVzF7H/369zYncNY2bMxZw6/PyCpOlbHSNk+WzZx6RRBipNoZdHhJPAUkOodzmzWN09Ah8S5YYePptxElNz6IvWRDM7PRANOQVsmTiDznR/t6+crg7mHKghtbkx5HMIIicppRpgRpGT3S1mjncaWXs8lesnhtd7MizCaK0Xdlu9KBBO6Uco2aFj+/bSXHcavcHI1MVLg24rB9oUaln2YT+6G1tmOZLRf6dEKh4X1L7xJNS2NgcG09DZEo8rzCXJBAlPzshRjJ09n+LR44IS6nggkmpDLXC03svxBv/kxGVjXCHvrxWh3mrPZY2tBIBJpg6uTK8Lq/90qEKtpEzbTWaqx0/jeMkoAMwuJ9OP7GHsqaPY2tx0e70DH0/EZVVJWqmWJFhe2cOfarLY22rmgi4HIzIi6F0tUAW328W2DR8AMHb2fCwZmUHvq0mh9nro2vkRrqaTkH4SedKlSEHcptOqTOvxYG0TGW2BOhRMnUdWiJnnZM9Wq1X6IcsyH9T469vnTDCRnaq+eCkt1LIMG+35fGj3L6A1N6WVpakNYdVPh4pSQi0DR0tGUT1hOi6jCWSZ8aeOMP3wHtxNNkQ0ji1JK9UARWlephU62dmUwvvHU7llijWstkCJVgKiNiF1/PB4KS6voL62lspps1QclfpC7XO7sG77N56OZv+ExOLxmhHqcDLTPa02ZmUf5HSKOeR9BYJQcdpsqmWsk2F1xUg5dNrD6RYvBj0sHBG6UIeapVZDqD+wFfGpw39n9SJLExdZmjUp1INlp7tTUtlUNYv6fH//9lxrO/P3bSPP2k53W4JO1I0zklqqAZaU29nTbOaE1cjhdiPjct3RyVaHubqi1lC760eKxULVxcsZ53KhNwT/6xpqllp1oXba6az+N96uNtAb/Yu6ZBYMu1+oQh2tUo+eVjsgUWsrpNB8IuT9BYJgabW5aNi2gZN7drHg2hvJLiqJ9ZCiRzQ6f4SYpZ470UR6SmhSHY1GAMMJ9bs9JWx35gKwNLWB2daT+EIsoY5VuYcMHBw5mu3jpuIxGNF5vUw/upeqEwextbrCWehRoBJJPz00y+xjXqk/QLx/IjWyFnuCYQl3pr3BZAp623Db54VCKELtdfTQ9unbfqE2mKHqkjgVah85tuNYuup7n2l2ZbOzc2zI5xUIgkWSJDwuFz6fl4NbPglqn2i010vYXtUDsP+kh4Y2HyZDeFnqUAk1Sz2cUL/TK9QyK9NOM9t6MuQxqS3Ug3X2sKams2bOxWypmoXHYKSgvYUrP13DqG27sbWGXtcuUJekkWq5Y/A/0otG2rEYfDTbDOxs8t/KDvmbtehZrShdnR18tPoNTtSH3t4oVELNUofa5aN923pwdIHJ4m+Zlzb8Fwu1hTrUvtO6zhYmeHcwOq2esemn0EuBSTAScvKEEUGMKJgyB0mno7n2BG31p2M9HM2ixiqKPp/MBzv8Wer5VSZSg89v+MekctlHMBnqGmcuEjJXp59mamdovz/h9J9WotzDB+wdNZ63LriMppwCDB4Pc/dvZ/nWD9CfEqVKWkVcDfGvtHjRSL/EfHAyFffAk2YTHi2109ux8WOO7d/L3g1rQ9pP7bKPUIW6tcMBo+dARgFMWopkGXqiZTj9p9Wsn9bhpcRxkBlZh0g3OHD79BztKcUri9AhiB4pGVmUTZwMwIHNHwe1T6jZ6kTsVz0sQZR+7D3hobnDR4oJFpSqW/ahtFD/21bcm6G+Mv00EztCW4k3HJkORagHy053WdJYM2cJ28ZPw6vXU9zayGc2vseIHfvpEbXTmiaproxD/cHOKXGQbfbS5dKxpT7MBWFCzVbH+ZLlod7+DPai1dnWytG9uwEYP29h0MfXklDLXq9fqAEpJcNf8mEeei3fcGQ6FKEONTtt6GymyldDqaUVSYIGRy5b2qtocuYC4czoFQjCJ3/ybHQ6PW11p2g9XRvr4SQFsiyzfqc/S33BJDMpKjZVUVKoAdbbC9nqyAPgirQ6JkVBqENhsMmIx4rLWH3BMppz8jF63FywZytLt30EdaHV17d3hLS5QCGSfqJiAIMOFpfZef1wOpvqLMwrdWBIqq8c2mHP1s0AFI4aTXZhcYxH4ycUofZ0d9CxZQ1UzEbKKQUIaoXEUFC7u4evvZ1pOYeRJHB4TRzsLqPDnRHSMZzNPXiNQ09S8LhFA6hkpsPuIS3IXytzWgYjq6Zwcs8OjmzfQt6IMnUHpyBhdZVSmyCSOodOe2jp9GE2wvyi0GJULFcp3mrP5RO7f97KirQ6poRR8hEKSgi1R6dny8QZHBlRCUBBewsLd2+Guk5CifZtw3zsIi6rS9Jp41DfhqcUOMk0eel268KvrVYRNerltIatq6s3Sz121ryg94tGt49g8PZY6dj8LrhscHoPsjz8zFctCXVPq52eVjt2Xwr1jjwaHLlUd0wYVKidTT04m0OfICkQhEPexOkgSbTWn8JpG/73LhoTFrWCGteHT/f6J8LNGm/CHEKWOpZlH/ucmayx+ZMxiyxNTO88FdKx1RTqwco92tOzWD1/qV+oZZmpR/ZyWfWHIWenhxNqgfokZaZabrci5Zxf26rXwQUjHLx3LI2Npy3MKHKiCzXDIHpWD0iwpR97t23F5/ORWzKCnOLSoPbRStmHz2mjfct74HZAahZMWBzTDHVo2WmZ7J6TuHXZuHz+mUiHe0YyVJmHM8T+rgLBQLTb3OSkBmdsKRlZzLrsSvJKyzBZLIqPRfSrPkt9q3/1REmCecXqdfxQUqhPuFN5o3sEIDHL3MZCS3NIbfPUFupzkYFDI0ezdfx0fHo9Foedhbs3U9zeHFLfaSHT2iEppXooZhY5+KjWQptDz/5WE5PyXWKVxQFQo52U0+Hg4M4aAMbMnKv48UFFoXa7aNu8Bpw9YE6HiUuQjEMvihKKUKuZnTbipNxzgOz0HnJdVnZZx+CX6YGFWsi0IJaYSysxJcOKiWr2qA6i9OPTff4s9eRRBrIswbduU/Pu7lBC3ehJ4R9d5XjRMcHUyWVp9SEt7BKKUCtR7uHWG9g4aTYni/1lTKXN9Vy4Zwuexp6Q+k4LodYWSVf+EWCwb8cmvX/SIsAnpywEcfc+MuJ8smIwBJul1ukkpsybT96IcgrKK4PaR82e1MEKtez1YN2+FmwdYEyBiRcjGVOG3EcrQm22NlAl7yDb2INX1tHsHPrfSgi1QA3CLcdyOYb/O1KzBCRRe1VbbT72HPN/bheMVK8XcihZ6qGEustn4O/WclyynnJDD1enn0bWsFB3pqbzzrxLOVlchs7nY/aBHVxS8zGexuDH3NYuhFqLiEz1AMwrcbDxtIX6HgPHOo2Mzg4xKIsSkLAwmsyMmDaXEdNin6UOZWKio/YAnvZG/0qJExYjpaQPub1aQh3qQi6F9qOUZTUD0OW2sK+rAodv4Oy6kGmBlqhrauX4x//G0W1lyRfvRKdL2vwQoHw99Zb9LnwylBfpKc32BT+OELLU4SxDPhBuWeIf1nK6ZSP5egfXZ5xEago+16uWUA/W3aO2oIRPJs/DbTRicdhZvHMjBZ1totwjQUjqSDTYH3WqUWZWUSBbHWZ7vThDSz2qgyWULLVaExMBerIqoWgcjL9o2IVdtCDUrjYrYz27KEv1C/Vpez41neOEUAtiSih/oyZLKj0dbdi7u2g8dljRcSR8v+ph7o56vDLbD/v/LeaP1MZEz8Gy1LIMb3aPoMFrwSJ5uCHjJMbm4IuooynUMrBj9CQ+nLEQt9FIYXszV2z6N5ZjjUELtchOax+RqR6E+aUOttSncKzTRItNR35q8N/WE51QbnkGc4GSZZlP3nubkaPHkFpaEfOsUyhZ6tYOB5Kkg4pZw2+rAaHuabWjl3QYJS9un56D3WW0urIH3DZSmXY12/Aahq6f8npCm6gpEADoDAYKxk/m9M6tnNy7i5Ix44fcvtXuJi8Z6rAV4GCtB5tDJsMiMaEo+P3UylIPVfax2ZHHflcWOnxcn1FLZktH0MeNplB7dHo+mTynt3564olDzDq0M6RlxkOR6fYOGdsgtasiLqtLUmeqYfA/7uwUH+Ny/d8etzWEka0Wy5YHTUPtCY7s2cXH76zG5/EEtY9aWepghdrZdJKWbR8h+4JbfjP2Qi3T0+rf1ivr2WOtZHvHeEWE2jXIbU6BIFRC+VstHDcJgJZTJ7B1KVNKIICaI/5/g+ljjaiR31BKqGvdqayz+a1/WVoDpW3NQR83mkJtM6fw3tyLe+unF+zewpyDO1QVakHsSHqpHorZZ9oI7Wgyq7t0eRJMVhyKAzXbARgxoQqDyaTosdUQao+1ja4d66H5KDQOf+s51kIt4aPMeYARlrMXHbsvJeJyD2dTjygNEcSMlIys3gVgTh/YE+PRxAnDXGusPT6O1PkTGzPyg2+jF+3yyG6fgVe7RiIjMcnUEVIv6mgKdVt6Fm/PW0pbZi5ml5Nl1R8ypv6EKuUe7R2yEGoNoHmpPn36NF/60pfIy8vDYrEwdepUtm7dqug5BvvmPCbbTbbZi8OrY2/r0O3RBOHR02Wl9sghAEZNnh7UPmp2/BgOn8tBR/X74PNCZhEUjxty+1gLtQEXYz27KExppyK1HpM0+GcXiiQLmU5u1IzLoXwRzhk9EYDa/cMvtJSoC8EoOUlxx1E38pkJirlpih22FyWy1D4ZXusa2TsxcWV63RDd9PsTTaFuyClgzdwl2FMsZHV3cvnmtRR2tIYk1MEiZFo7aFqq29vbWbhwIUajkbfffpu9e/fyX//1X+REqWe0JMHMM9nq6gZtrLAYT6sqBlNPfWjnDmRZJrd0JBm5yk6WVDpLLcs+unau96+WaE6HcRf666kHIdZCLXe0McG3k0yjDbdPzx7raFzywHWloUiyloRalmUeeeQRSkpKsFgsLFu2jEOHDg25T1dXFw888ACjRo3CYrFw4YUXsmXLln7b/Otf/2L58uXk5eUhSRI1NTUqvov4ItZxuS+5o8ZgMJmwd1lpPV0b9fMnErIsU3PYX5Iwszj42KnGNXGoso/1tkJOetIw4eWzGbXog+z0EU2hPl40krWzFuE2GClsa2bFlg+QTncoLtRazU6HE5cfffRR5s6dS0ZGBoWFhVx77bUcOHCg3zZHjhzhuuuuo6CggMzMTG688UYaGxvVfCsho2mp/uUvf0lZWRnPPvss8+bNo7KykuXLlzNmzBjFzzXYN+gZhU50kszpLiMNPfrQDpqAddVK9mX1+Xwc3rMTgFGTpgW1jxpZ6mDLPmyHanC31oNOD+MXIhkGL1WJtVCbrI3MyDpEit6N3WuipmPckEuNB4MWyz1+9atf8fjjj/PUU0+xadMm0tLSWLFiBQ7H4Leuv/KVr7BmzRr++te/smvXLpYvX86yZcs4ffp07zY9PT1cdNFF/PKXv4zG24grohGXg/1CrDcYmTD/ImZedmXQK7AGQ8w7gKix8MswpR8nm7y0d8mYDFBVovzplWihd8iVwUZHAQBXpNeR3aK80Ecq1PvKx7Fh2gX4dDrKG2pZuv0jXCEcMxSh1irhxOUPP/yQe++9l08//ZQ1a9bgdrtZvnw5PT3+a05PTw/Lly9HkiTWrl3Lxx9/jMvl4qqrrsLn004jCU13/3j99ddZsWIFn/vc5/jwww8ZMWIEX//61/nqV7866D5OpxOn09n7s9Ua2R9yuklmYq6Lva1mtjWkcMWYHrHCokLUHT+GrbsbozmFotFjFT220i30nI0nsB/b5f9h9Dyk1OxBt1VDqEPp8JHVc5IxmaeRJOhwp7HXWolHPv9PPV6z0wFkWeaxxx7jBz/4Addccw0Azz//PEVFRbz66qt84QtfOG8fu93OP//5T1577TUWL14MwI9+9CPeeOMNnnzySX76058CcMsttwBw/Pjx6LyZOEILcbkvmWMmkys6e0RMzZk2epMrjJgMzmG29hNsllqJso9Or5E3u0cAMCellfEd9UEfM9gsdSRCLQPbxk1lX8UEACacPMScAzvoSbJyj3DiMsA777zT7+dVq1ZRWFhIdXU1ixcv5uOPP+b48eNs376dzMxMAJ577jlycnJYu3Yty5YtU/eNBYmmpfro0aM8+eSTPPjgg/y///f/2LJlC9/85jcxmUzcdtttA+7z6KOP8uMf//i8561BZDgl08CzccdndnKoOQOjz461x7+NZAwu6GAMcrKHHLyISd6hJvN5KC0ykJEOVmvwImTzDr0CYO92nuBqy7vd2cDQgdThsJOWnUN6XiF22/DBrD3ILHWHPbgOIgCt1uA+99bWLnB7IX8UUkou9Ax+y9FpC+6YnW3BBfCOILcDsLU5sJjtOA0Ompw5HOkpQcYF9P/ddjYr193D6/H/jp9b0xp4Pph9z5Uss9mM2Tz079qxY8doaGjoF0yzsrKYP38+GzduHDB4ezwevF4vKSn9f98tFgsbNmwYdrwCZeOyvXvwnsK2bsi2BHeJMnmCk+ruLshNCW5b2Rhcv2OvYfjyA9nnpagkg6xMQ3Bx2R7837wcZLyhe+i/R5PehVFyMSbNjjXItVPknuA6WMi24LbzNg3+Xjp8EiZXFxZJZo50CqszuOuBuznIO5FBbgdgGyTJYXN5cDgcTD+6lwknDtHYHnxypyfIZGtHZ3BCbZf9B4yHuDwQnZ3+uzW5ubmA/4u5JEn9zp+SkoJOp2PDhg2akWpkDWM0GuUFCxb0e+6+++6TL7jggkH3cTgccmdnZ++jpqZGxv8lUjzEQzxUfNTW1sqyLMt2u10uLi4Oer/09PTznvvhD384bHz4+OOPZUCuq6vr9/znPvc5+cYbbxx0vwULFsgXX3yxfPr0adnj8ch//etfZZ1OJ48fP/68bY8dOyYD8vbt24cdT7Ig4rJ4iEf8POIlLvfF6/XKV155pbxw4cLe55qamuTMzEz5/vvvl3t6euTu7m75G9/4hgzId911V1DHjQaazlSXlJQwadKkfs9VVVXxz3/+c9B9zv0mNWrUKABOnjxJVlaWOgNNAKxWK2VlZdTW1vbeWhH0R3xGAyPLMl1dXZSW+mtaU1JSOHbsGC5XkFksWUaS+s/fHygb8sILL/C1r32t9+e33norrPH+9a9/5Y477mDEiBHo9XpmzZrFTTfdRHV1dVjHSzZEXI4eIuYMj/iMBibe4nJf7r33Xnbv3t3v7mFBQQEvv/wy99xzD48//jg6nY6bbrqJWbNmxXzBuL5oWqoXLlx43uzPgwcP9gbkYAh82FlZWeIPLggyMzPF5zQM4jM6n3PFKCUl5bwSi0i5+uqrmT9/fu/PgRrdxsZGSkrOzqxqbGxkxowZgx5nzJgxfPjhh/T09GC1WikpKeHzn/88o0ePVnS8iYqIy9FHxJzhEZ/R+cRTXA7wjW98gzfffJP169czcuTIfq8tX76cI0eO0NLSgsFgIDs7m+LiYk3Fbk1L9be+9S0uvPBCfv7zn3PjjTeyefNm/vSnP/GnP/0p1kMTCARRJiMjg4yMsx1MZFmmuLiY999/vzdYW61WNm3axD333DPs8dLS0khLS6O9vZ13332XX/3qV2oNPaEQcVkgEARQKi7Lssx9993HK6+8wgcffEBlZeWg2+bn+7uQrV27lqamJq6++mpl3owSxLD0JCjeeOMNecqUKbLZbJYnTpwo/+lPfwpp/87OThmQOzs7VRphYiA+p+ERn5H2+MUvfiFnZ2fLr732mrxz5075mmuukSsrK2W73d67zaWXXir/4Q9/6P35nXfekd9++2356NGj8nvvvSdPnz5dnj9/vuxyuXq3aW1tlbdv3y6/9dZbMiC/9NJL8vbt2+X6+vqovj+tIuJydBCf0/CIz0h7hBOX77nnHjkrK0v+4IMP5Pr6+t6HzWbr3eaZZ56RN27cKB8+fFj+61//Kufm5soPPvhgVN/bcGheqiPF4XDIP/zhD2WHwxHroWga8TkNj/iMtIfP55MffvhhuaioSDabzfLSpUvlAwcO9Ntm1KhR/SbY/O1vf5NHjx4tm0wmubi4WL733nvljo6Ofvs8++yzA07eCWaijmB4xN9ScIjPaXjEZ6Q9wonLA8VbQH722Wd7t/nud78rFxUVyUajUR43bpz8X//1X7LP54vSuwoOSZaHWdtVIBAIBAKBQCAQDIl2pkwKBAKBQCAQCARxipBqgUAgEAgEAoEgQoRUCwQCgUAgEAgEESKkWiAQCAQCgUAgiJCEluonnniCiooKUlJSmD9/Pps3b471kFTj0UcfZe7cuWRkZFBYWMi111573gINDoeDe++9l7y8PNLT07n++utpbGzst83Jkye58sorSU1NpbCwkIceegiPx9Nvmw8++IBZs2ZhNpsZO3Ysq1atUvvtqcIvfvELJEnigQce6H1OfEYCgbqIuCzi8nCI2CyIW2LdfkQtXnrpJdlkMsnPPPOMvGfPHvmrX/2qnJ2dLTc2NsZ6aKqwYsUK+dlnn5V3794t19TUyFdccYVcXl4ud3d3925z9913y2VlZfL7778vb926Vb7gggvkCy+8sPd1j8cjT5kyRV62bJm8fft2efXq1XJ+fr78/e9/v3ebo0ePyqmpqfKDDz4o7927V/7DH/4g6/V6+Z133onq+42UzZs3yxUVFfK0adPk+++/v/d58RkJBOoh4rKIy8MhYrMgnklYqZ43b55877339v7s9Xrl0tJS+dFHH43hqKJHU1OTDMgffvihLMuy3NHRIRuNRvnll1/u3Wbfvn0yIG/cuFGWZVlevXq1rNPp5IaGht5tnnzySTkzM1N2Op2yLMvyd77zHXny5Mn9zvX5z39eXrFihdpvSTG6urrkcePGyWvWrJEvvvji3sAtPiOBQF1EXBZxeShEbBbEOwlZ/uFyuaiurmbZsmW9z+l0OpYtW8bGjRtjOLLo0dnZCUBubi4A1dXVuN3ufp/JxIkTKS8v7/1MNm7cyNSpUykqKurdZsWKFVitVvbs2dO7Td9jBLaJp8/13nvv5corrzzvfYjPSCBQDxGXRVweDhGbBfGOIdYDUIOWlha8Xm+/Py6AoqIi9u/fH6NRRQ+fz8cDDzzAwoULmTJlCgANDQ2YTCays7P7bVtUVERDQ0PvNgN9ZoHXhtrGarVit9uxWCxqvCXFeOmll9i2bRtbtmw57zXxGQkE6iHisojLQyFisyARSEipTnbuvfdedu/ezYYNG2I9FE1RW1vL/fffz5o1a0hJSYn1cAQCQRIh4vLgiNgsSBQSsvwjPz8fvV5/3szgxsZGiouLYzSq6PCNb3yDN998k3Xr1jFy5Mje54uLi3G5XHR0dPTbvu9nUlxcPOBnFnhtqG0yMzM1/y2/urqapqYmZs2ahcFgwGAw8OGHH/L4449jMBgoKipK+s9IIFALEZdFXB4MEZsFiUJCSrXJZGL27Nm8//77vc/5fD7ef/99FixYEMORqYcsy3zjG9/glVdeYe3atVRWVvZ7ffbs2RiNxn6fyYEDBzh58mTvZ7JgwQJ27dpFU1NT7zZr1qwhMzOTSZMm9W7T9xiBbeLhc126dCm7du2ipqam9zFnzhy++MUv9v5/sn9GAoFaiLgs4vJgiNgsSBhiPVNSLV566SXZbDbLq1atkvfu3SvfddddcnZ2dr+ZwYnEPffcI2dlZckffPCBXF9f3/uw2Wy929x9991yeXm5vHbtWnnr1q3yggUL5AULFvS+HmhJtHz5crmmpkZ+55135IKCggFbEj300EPyvn375CeeeCKuWxL1nWEuy+IzEgjURMRlEZeDRcRmQTySsFIty7L8hz/8QS4vL5dNJpM8b948+dNPP431kFQDGPDx7LPP9m5jt9vlr3/963JOTo6cmpoqX3fddXJ9fX2/4xw/flxeuXKlbLFY5Pz8fPnb3/627Ha7+22zbt06ecaMGbLJZJJHjx7d7xzxxrmBW3xGAoG6iLgs4nIwiNgsiEckWZbl2OTIBQKBQCAQCASCxCAha6oFAoFAIBAIBIJoIqRaIBAIBAKBQCCIECHVAoFAIBAIBAJBhAipFggEAoFAIBAIIkRItUAgEAgEAoFAECFCqgUCgUAgEAgEgggRUi0QCAQCgUAgEESIkGpBVPjggw+QJAlJkjh+/HishyMQCARJj4jLAoGyCKkWKM7tt9+OJEksWbKk97nMzEzmz5/P/PnzMZvNsRucQCAQJCEiLgsE6mOI9QAEycGsWbP49NNPYz0MgUAgEJxBxGWBQFlEplqgKBUVFTz33HMAfPjhh723Fge6zRjInAT2KSsrIzMzkwceeAC73c4DDzxAVlYW5eXlPPXUU/3OU1dXxx133EFpaSkmk4nRo0fzn//5n3g8nmi/ZYFAINA0Ii4LBNFBZKoFijJz5kx6enpoaWkhIyODSZMmAbBt27ZB96mvr+frX/86JSUldHV18fvf/5733nuP06dPk5WVRW1tLffeey8XX3wxVVVVtLa2csEFF1BbW0tGRgZVVVXs3buXRx55hGPHjvHMM89E6+0KBAKB5hFxWSCIDiJTLVCUV155hSuvvBI4e2vx008/ZdasWYPu43K5eO+99zh48CBlZWUAHD58mB07drB3715SUlLw+Xx8+OGHAPzxj3+ktraWoqIijhw5wo4dO/jHP/4BwKpVqzh8+LDK71IgEAjiBxGXBYLoIKRaEHNycnJYuHAhOp2O8vJyAKZMmUJFRQXp6ekUFhYC0NjYCMDmzZt7fy4sLESSJK699loAZFlm06ZN0X8TAoFAkECIuCwQhI4o/xDEnMzMzN7/NxgM5z0nSRLgD8x96Xsbsy+pqalqDFMgEAiSBhGXBYLQEVItUJxA8Ozp6VHl+HPnzmX16tUYDAZeeuklKioqAOjq6uKVV17huuuuU+W8AoFAEK+IuCwQqI8o/xAozsSJEwHYunUrU6dO5YILLsButyt2/HvvvZcRI0bQ3t7OhAkTmDFjBmPGjCEvL4/bbrtNsfMIBIL/364d20AIwwAU9U2QAjEOUzABLJS1oCezpEJcf93J0KD3BnA668sKb2Evw/NENbdb1zXmeY5SShzHEfu+x3met80fxzG2bYtlWWIYhmitRe89pmmKWutt7wC8hb0Mz/tcvx+iAACAv7hUAwBAkqgGAIAkUQ0AAEmiGgAAkkQ1AAAkiWoAAEgS1QAAkCSqAQAgSVQDAECSqAYAgCRRDQAASaIaAACSvuSGbzAHeiFdAAAAAElFTkSuQmCC", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Visualizing the partial interaction:\n", "fig = plt.figure(figsize=(2*single_size,single_size),layout='constrained')\n", "axs = fig.subplots(1,2,gridspec_kw={\"wspace\":0.3})\n", "plot(model5,which=[4],axs=axs,ci=False)\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Note, that these surfaces really covers only the three-way interaction estimates (ignoring the main effects). Hence, they look very different from the previous plots. However, we can still recover (**approximately**) the surfaces estimated by model 4, when visualizing the three-way interaction + the two-way interactions!\n", "\n", "In this case, the added interactions produce surfaces comparable to those obtained from model 4. This is not guaranteed, and in practice models set up like model 5 will tend to produce more flexible solutions - because they have a larger solution space, in which they might find evidence for a more complex solution (see Wood, 2017)." ] }, { "cell_type": "code", "execution_count": 44, "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Visualizing the three-way interaction + the two-way interactions approximates the surfaces estimated by model4, which did not attempt to decompose these.\n", "fig = plt.figure(figsize=(2*single_size,single_size),layout='constrained')\n", "axs = fig.subplots(1,2,gridspec_kw={\"wspace\":0.3})\n", "titles = [\"Cond: a\", \"Cond: b\"]\n", "\n", "# Set up some new data for prediction\n", "time_pred = []\n", "x_pred = []\n", "\n", "xr = [t for t in np.linspace(min(dat[\"x\"]),max(dat[\"x\"]),20)]\n", "tr = np.linspace(0,max(dat[\"time\"]),len(xr))\n", "\n", "for t in tr:\n", " for x in xr:\n", " time_pred.append(t)\n", " x_pred.append(x)\n", "\n", "# Loop over conditions\n", "for ci,c in enumerate([\"a\",\"b\"]):\n", " \n", "\n", " new_dat = pd.DataFrame({\"x\":x_pred,\n", " \"cond\":[c for _ in range(len(x_pred))],\n", " \"time\":time_pred})\n", " \n", " plot_fitted(new_dat,[\"time\",\"x\"],model5,ax=axs[ci],use=[2,3,4],title=titles[ci])\n", " \n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Binary tensor smooth interactions\n", "The binary smooth approach generalizes beyond the univariate case to the tensor smooth interaction case. Essentially, we then fit a smooth surface for the reference level and difference surfaces for the remaining levels of a factor. Such a model is set up below." ] }, { "cell_type": "code", "execution_count": 45, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/Users/joshmac/Documents/repos/mssm/src/mssm/src/python/formula.py:640: UserWarning: 3003 y values (9.32%) are NA.\n", " warnings.warn(f\"{data.shape[0] - data[NAs_flat].shape[0]} {self.lhs.variable} values ({round((data.shape[0] - data[NAs_flat].shape[0]) / data.shape[0] * 100,ndigits=2)}%) are NA.\")\n" ] } ], "source": [ "formula6 = Formula(lhs=lhs(\"y\"), # The dependent variable - here y!\n", " terms=[i(), # The intercept, a\n", " f([\"time\",\"x\"],te=True), # one smooth surface over time and x - f(time,x) - for the reference level = cond == b\n", " f([\"time\",\"x\"],te=True,binary=[\"cond\",\"a\"])], # another smooth surface over time and x - f(time,x) - representing the difference from the other surface when cond==a\n", " data=dat)" ] }, { "cell_type": "code", "execution_count": 46, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "f(['time', 'x']); edf: 8.499\n", "f(['time', 'x'],by=a); edf: 8.128\n" ] } ], "source": [ "# Fit the model\n", "model6 = GAMM(formula6,Gaussian())\n", "model6.fit(progress_bar=False)\n", "\n", "# We again end up with two smooth terms in the model.\n", "model6.print_smooth_terms()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Visualizing the two surfaces reveals the same picture visibile for the univariate case: the left surface largely matches the surface estimated by\n", "model 4! The right surface is now the difference surface estimated for condition a and thus needs to be added to the surface on the left to get the combined surface for condition a!" ] }, { "cell_type": "code", "execution_count": 47, "metadata": {}, "outputs": [ { "data": { "image/png": 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D0NsBQggCPiCeBOJpwOIiOYJEOV5GIYICsFpNg4lMYS76IRMCrkIFgOXLl0MURUyZMgV+vx+rV6/GokWLcOqpp0IURYiiWLAOq+q1entTUxOamvJtsqIoYvjw4XlXQo8++mh8+9vfxvnnnw8AWLRoEebMmYMxY8agp6cH9957L1auXKkV83V1dTjvvPNw8cUXo7GxEbW1tbjgggtwyCGHVE7jJwa4MLfCTVduIpHQzo4AoLs76+vSWxSIHcU8o4RJaWeKeUAtzJMV8AVqrEdsm/J3CZVIMU9kFPNSqOUd0cLFNNmjWInESGUU5gDgr2vUCvOaUeM83beYsWAkE2ndjnkjhIxibufjy2e+I5LJxTQu812hZTj5MoPjODz++OO44IILcMQRRyAcDmPOnDm44YYb8rbr6urCihUrcPPNN+vuZ9euXXmqO6D40X/+85+DUopDDjkEK1euzMtHP+ecc9DT04NbbrkFP/vZz1BfX4+vf/3rWLJkifdvtMLwcl228il7AQVBXPYhyCcRERTfrsQU87JCqTeFOSFcpsinpsdsPXhBKXckg0E3hc9F4PfziMXSSCQk2DkHCPgI4kkKgzapPFTFnBKCBHgEYLxAh1pCkHdGQWQZlOOQ8AcQjA9MP5UVgiBgyZIl+PTTT0EpxdixY3H++edj4cKFnj/X+vXrsWvXLu33HTt2YN68edi6dSvq6uowdepUPP300/jGN76hbXPjjTeC4zh897vfRSKRwLHHHov/+7//8/y1FUNFF+ZLliyBIAi48MILbT/m+uuvx9VXX21wr57/yrgw7001ICJ25FhZnC0ElWZliZbJymLl4fWKdExpuhJDA+Mr18NfqzSyJbvbPd937qXVVEqCz2fv6ytmNvPKykIySs1AF+YAMHLkSKxYscJ0m7q6OkSjxg12V111Fa666irt9+bmZqxatcryuS+44AJccMEFtl/rUMH7dbn0xCU/gnwSYSGjmMusMC8n6hGQ6HigHcNxio3FgZUFAARRVczzrYDqcV4Pn08tzG1I4FCuRneCIm4jkVAgFD5ISIJHDIJpYQ4ovuNAKoGYP4hEsHIL81NPPRWnnnqqo8fceeedltvo+cr732an8T4QCOBPf/qTpVVvIBn4I6sBalfunXfe6cg/vGjRInR1dWk/mzdvBgD0IQKJUwrGto7sBzrQ0IxA0zBwvHGRI6iFuUPFXLWMxBJUz0WTh90GzmKIl7gwzyrmxVk27BIethtqRu8Bf13p/3Z2CTYPQ3jEGPhqzZMm3CCIgvZdyPXzW+HLKOaqTdLss6Yp5ibfuaxiPvC+fkZ58XpdLhcxKV8sYB7z8pK1sniADfup7sNUK4tNxRwA/H6lLkj06+vRtXoC8GeO+XY85gAQNPGZh1sLryYFMnaWeEA/IKGhnq3JQ4GKVczdduUaBeB/hr3R6m9Bfb/bR808BoBxagaQa2WR4eRcRi2AZQok0zD2qBWBk4K+1Iq5uniVo/ETABonTtP+e1fXwKsHu7piaG4ZiVCLfY9xeyyFRp1kFj0IIRBFAclkCsmk/QZQZ4q58hmRTT7nhNqzstTXEYQtinefTIAd1q+LURl4vS6XC7UBVIUV5uVFtbLoXbV2jHo1z6GVRVCtLDY95gDg9yufk0RSAmD9mVHFuLjN5TlIJHQBiBLR1p8mmIyjA0Ai4L4BlK3LlU/FFuZnnXVW3nQmADj22GNx1lln4dxzzy3ra+HzFHMbf7JMM4goEAi84u2NhWvhT3ZbP7aEqF73Uivm/n6FeW+q8OShzY4Jj1GA6PcphbmDZBaRd5PKUvnNn4zyU0nrshOiUn4hwzzm5cWz5k/AtWKuNn+m0/bXTq0wT9h7roB6ldzm4S3EpQEpq5iLrSGkdhjb7oKaYj74klkY9hnQwry3txfr1q3Tft+wYQPWrFmDxsZGjBkzxlZXbjlQC3PJocccUM6ge2IUsQTFQF9lKldcYjkUc1mSICXjEPzBvCzbSkFKJUE4HhzvbQHg84noAxwq5uqVGwJJpjBLOcxaWWzEJVbg351RPINlXXYCU8wHlqzH3IOdZdamru4YmuvtP4zPeMxlR4q5UiIlE5KSSpYzu0QPNfAhnlIaVK0IZeI7o3YjE9XCPJi1sjQ2AO36FnnGIGVAj6yrV6/GjBkzMGPGDADAxRdfjBkzZuBXv/qV58+1D9agPrqh4PYtq57FusfvRvvmwvtU8q0szlCL4GgFNIDqxiVGvPNna1aWMjR/xjt2Yv3jf8fnT91X8udyysbnHsJnD/8NsZ1feb5vLcvcQWSimLPmW7VJ2EllyTZ/MsV8KFLOdblcxGUfZJr9vLLmz/JSCsW8f/OnlZ1RLczTjjzmqmJuTwgJOvSYhzhlvzFirzAPqFnmTDEf0gyoYn7UUUc5GsZhNu3JChFJSDSF/qV1PBpFOhaFlDJuo+ZdNn8C2cI8nqDAAH6XKKXoiyt/63CgNOdjiXj5FHM1kUUIlD5uzSm8T1HnUrH8Ud12s8zbYik0GfjO1ZMeuwcKAHkKeUoy73VQrSyyqZWlMgYMMUpDOdfl8kEQk/xaKovEcszLildxicpOMv921GVcohPF3Kc2fzq0sliksvDDQpC2R3OaP+31GWlZ5qwwH9JU1eqkuyiocYkmNhWBL8LKUsIscyeNn4lUVi2NBEtkZUmywhwAhKAySjod7fVkf7kefdGvKub2C3NCiO0GUHtWFqru2PZrYDAGmqScLX6YlaW8eBGXqKWpGSjmVmQHDLnwmNuY/AlkC3PbirlTK0tGMU+G9VNZGEOD6irM9SZ/ajnm5pM/AUUxj0rNjp5TvbRlx8pSysjEnqhyUuEXs55jrymvYq40yKhFcKWwqysGMaQE3qY8Ksxz8WlDhnRWfpPJrGK/yEQj+IwKJZkEm6mKuT/MihvG4CEpZ4sfWl2HvgGnFHGJrgtzB1YW4lPW1ITNmBWzwpw01BbclrWyOFPMYz5WmA9lKjaVpTToFMd2Jn9qVpYiFPMB9pj3ZmwskWDpDkjZuER3uZDtDpJa0vGMYh4MVURUYi5CUCnM0/2sLF7g8zlXzAFAzBzLrD7CnA3F3K7HvKEeiFjU7j4JLJaLURZyFXNGeakIK4tYhJXFpmKuHe8zT0EaGkA7jDszgy6bP9OCgLQgQHCg/quwdbnyqSrZQG9RMJv8qaI1f0pFeMxLYGWxTWM9eqNqYV46+0GiRKksHdHChbRSFXMAEEPKayqFYi72K8ztXsERMpGJVm0SgpZjbmPAELOyMAYR2xPKFcloeuDy1KsVTTEnym9FoSnmTnPMs1YWu3G9voDyGLuKedBNXCLsFeahlhAEWYKQObFgkYlDl+pSzPUamjKKuWxmZfFAMR/oVJbemPLaazwszPsXheWMS9Q85sEwvEpEb+uM5/3eVO9u4RNCpVPMtcLcweRPABBsK+Zqjrm1Yg4Wl8gYRESlIN7smJRnaWGUh9yjHwHVCnVXqOsOdWhlEV1M/nSomAcyh76UZB1NC2Q95kkiIA2iCSNmBBNx9Agi4sEgIr2F4k9DPUFH58CnwDHcUzUrVBxBUK5QKeECYfjrGiH4jYswLcfcRG4k4XrQvs6C27Uz6AEuzHtiGcU8VAYrSxniEmtGT0Cqtwu+cC1izq/mafQvxr1ADEYQHjEGYigCKsue5qyrJz1OrSxOFXPT5s+MUiWzwpwxyIhJTGUcCCjNLcSLPBaS4jzmaQdWFtWWaTcFK5ATRRxPAWGLizMBImknKjEIqOknM4VbQ+jrN3AomIyjJ1yDeID5zIcqVVOYf4IpaA23oL7f7eE9Z6D5gJmmMXa8B6ksXltZnDaK9sVKa2WhlBpO/iwFLft+LfuLS495KYpyAOBEEaMP/1ZJ9t3fymIX+4q5WpibNH+yHHMGg+GAXIVcKUSLQBUELKws/eNp1cJcTqdtx4GqA4bicXsnARxH4BeVFLSYjcKcECBE0uijom5hrgeLTBz6MMnLBkIZrSylSmbpyVhZ7BTmJFzveP+5haJYhsK8HLgt3J02ozppetWaPx3kmAPZVBbruEQ1lcXEysI85gwGwwH9C/OiUBVzl1YWwLwBtC+dtWiq620iYVHM5wzq08Q42z7zTANoJplFbDWPADaa/skYOrDC3AbaYIIimj9jCaprcS8XvbEiU1lMoviArOeZ44h2IlMqpFQSqWivacNuJSAlE5CSibzb9BpZnWBXMe9/cqUp5h7mmFNmZWEwGA4p+nTeZfOnehwH7PvM/ZnmT0rtC3MBpw2gxH4DKJCd/smsLEOXqrGyTMZ7IL0jkG76Wt7tsS8+xudb1qJ2zJ7Y82uH6D6Wz3RwpK3kRh1UjzmlQCINBAYosasUzZ+5qB480ecDKbGS2vvVF9j6+vMItYzEmFknuNpHqWwsKtvffgUd6z5A097759tuisQ0x9wEtTBPGRxb1El0Yr0f6AFk0fjkSlPMLQrzcIOIiMVJGk2z4p7BGPoQUKpYN0jB/G2HaFYWZ8djQgh4QYCUTtuOTBRFHoQox+94PK0NajNDyzK3mP6pEnI5/TMedGdlYety5VM1f30/4hDkRMHtNJVAsqcL6XhU51EK6pl22oXHXBSIVhTFQoUDBspBWqLaIlGqHPNy+svVf6tyZJi7LeD5jJrh1fRPFbcec9Fu8yfJNHZmdK2wzmVVzWPOrCwMBsMmZhGsjnBpZQFyGkBtKuaEEPh8memfifznM7J89s8ytyKoKubEWZZ5ginmQ5aqUcwBgOgNJLAzYCijmLtp/gSUL2pPlCKWpGhwuDZ54TlXbSw8l41z8pqBikqsVLTpnzFvC/PcAUOUUttXJ7LNnwRmqQialcXknJ2zqZgzGAyGCqUEIFTXY96xK4qGZnNvtYbN5k89eFEE4jFHkYmBgIBEQlKuCts45ARNpn/qoXnM7SrmSUWMSoRYYT5UqbIjq05BYmfAkOoxt5IbDXAamUgaGrQfL1AbP2tCJL+Qi3jXMZKd+mldmNsd7mCENlwoYHMhHwC0LPOot1nmamOtLFNHJ4p24xI5ohbmLJWFwWB4hzZkyLMBQ+4Vc8nBxEy/X18xNyLrMTdfH/lhyvFLHTIUczj9M+Hzs8jaIUpV/avqTv60oZgLvPtUFiC/AbTs5Ez9DAdKmWGuKub5Z/29Ke/bxdPx4hRzp/YUN3YWMZhRzKO9tqO5bO03x+ToJJnFblxiVjE3K8yZYs5gMJyhroLFp7KoA4acH48FN0OG1MhEm+ut41QWkp/KYrptSwj+VFK7amk0/bOhnokmg5nqOrLqFUiaYm49+bMYKwswcEOGVCtLTah0X9ZEWa0sWY95paKeNFApDTlZ2NtghdFVBY7jIGSKcyc+c0Gw6zG3Y2VhijmDwXDGQCvm7bFUjmKev76aCUh5irlFOhmQc4VcZwknDYV9ZqpibjeVhQAIJhQ7S25kImPoUFWFuZlibnb2zWuKeb+FwMaXFMj5ono8ZMguvQ4yzN2SdGBl0cMoy7t/vCClNKuYByrXY84JAvjMNFkvfOa5B45stq591UdLZbGysjhRzE0iFRkMBiMPWgFWFtH59M9ARjFPxG1O/3TY/Kkp5jY95kBOMgtrAB2SVM2RNQk/JK5wDBcRfBDDteD9xh9wTTEfjFYWeJBhboOyKeaUomHCPqgds6crxdxtyorTx+3qiqF2zB6on7A3ON7bjEwxE5mYsquYRxqyqSz9PsL9FRwjK0uoJfu3JkwxZzAYDvFMMddSWVw0f6r9Yk6sLAHVymLvRCArxCm/W/WKhTOKeZwIukGSeslYwWRhZCIbMjR0qJpUlo8wDa21Lajvd7t/+DiMmjjZ9LGaYu5kwFCkAejtADDwhXmPamUpoWKuFea+0hbmhOPQOi03b95ZbGA5GTbjsJLs1+ciMtHugCHVyiITRTvX+8TYTWUJNYcQMslDBwDJxWwABoMx+MjGJRarmLvLMQeyirmj5k8tLrE0HvMAkYDMahuDgLCNY5pmZXGhmLN1ufKpGsW8GDxTzJmVZVBT6qFEdhH9bgpzfcW8P1zOQdMod5ilsjAYDKeoLV52FfPONoNEK869Yq42f6ZTNqf/IKuY201lyfWY2+n754hzO0t2yJBxYV5fx9bnwUrVFeaGX3YTVMVckmRXCRshZmXxDCkRV5JOXKglA1FYS8kEUv2GDPX3zQPGHns9NMXcgcdctOkx50n2MyoZeMhZKguDwXBK1spSJKQIxVxwnsrCiUovmV3FXPWYSzKxFEJUtAbQzJAhUce+kgsbMjS0qZoj6174EMO73ym4PdW5Axue+Se2rHoWgH6BJOSMr3WTzBJwmGPuJbJM0RcvQypLvDyFeeeGT7D+iXuw9c2VJZ/6WSzdm9bhs0fuwFevP+/pflWPecKBYs7z6sHCYrscNcuoAVRLZWGTPxkMhk0GOpUFyLWyOBBCtOZPe8/nExQVHMj6zK1wq5gnI6wwH4pUTWEeQh986cJ0DCpJSHTuQrK7w/CxfE5hXpDMYoOBtLL0xSkoBQjJKvelQFXM/SUuzNPxgR0u5ER1VyMTPR8ypCnm9gtzNf7cMpWFZK0qTDFnMBheQalXHnO1MHfT/Okmx1x5jN0cc0JI9phve/qnGplorzAPZTzmMZPQCsbgpaqOrG4HDHE5BYgbn3mulcXDWTO2UG0s4QAB56EnOCo15/2u+p3VorFUpGPFDRcqJ0IoU5jHvB0y5K75057HHMiq5rKBIk6YYs5gMBzi2YAhzWMuOV5XBTfNn341ntZC1ciZpJ0V4+w9R4jkW1ms0DzmPr/hOs0YvFRVYa57pm5jwBAhRFPN00VYWSgFHIicxdNYjx6HjZ8kXO/qqVQrS8kV85g7xXwg/OWiOmRIliElvLPdaIp5Uvmb9z9J0sNuKgsA8JnQLqMhQ1xGMZf5Kls+GAyGa7yLS8xZdxw2gKqKedrF5E+7HnMge8y3Pf2Tc2Zl8acSILIMEIKEwfRPxuClauISgewl+LzbbCjmACDwPKS0BMmFlUUUCAReKYpioVoEUt2O9+EWTxo/LQYppdOS5r0XS25lURXzEOz31XtLW2ccTfXWiyHheAjBENKxKFLRXs/sNz4zK0uwDoh1Fdys5pinHCjmhlYWmznmoZYgwj7zJUZyoPozGIzBi2plSfYkgJoidsRlraVUkkA48+i/XDSPuYNUFp9dxTwHVTHX6fPPfz3DQpC2R7UsczvTP0MtIUR3RhFMxBENhhAPBhGM2Rd+2Lpc+TDJi9grzDlVMXcZmThQySy9RhnmOZfdiiW3QPSV0MpCKc1RzCvfyrKrKwYhGAEApKPFT/9UUZs/i8kxNxt6oU3/NLhEymmTP9klVAaDYQ9NMSceKuYOG0CFnObPNpsGcL8WTytBlu299qBTxVyzstg/fmo+cxeD9hiVTVUV5rqX0NTC3OCSmDoKXVAjE10o5sDANYD2RkufYa42foo+Mc+P7zVyOgUqKQuYk6mfA5k/LoaUwrx/ZGIxFDNgSKYEVscW1coiGywPRAskrqrlg8FgFIFXVhZCiDb9s78F1SqpK2tlMV87+9JZe6CaygIoxXneazGwfmqKedLecTfs0MoC5AwZyskyZ9M/hwZVY2VJQ4RAfAWJ/4TnwfuD4C0mVhbjMQf6RSaW0RLWU4YM86Q29bO0jZ+gFI0Tp0FKJsAJIip56qdKePho8P4A/HWNnu1TdJFjrjZ/AopqbnYlk7dQzIk2+ZMp5gwGwx7ZAUMewHGAJDlWzN3EJQoCD54nkCSKRCKNgA23ptn0T9JQC9qRb2cNWVhZwq0h9O2I5j+GKeZDlqopzD/ADLQ2thTczgcj2PPEsy0fzwvKn0pRzPU9bSRcD9rXqXvfgFtZSplh7mDqp93Lh3rwPj9apx3i+vEDQf34yQAme7pP9e/sRjEHlGQWs38prTA3av7MSO4yi0tkMBg28czKAig+cymFjq4YmsPmPVC5CKKy8jnxmANAICCgry+FeFxCnZ3CXBXiHOaYJ4iANAgEG1cVQjamfzIGJ+zIakD/AlK1srj1mA+YlcVhKosbSjX1U29CZqUwoPYYF1YWjiNQ62grN5aVxzybY84UcwaDYQ/PUlkA10OGtBzzdNpR1KLfrzyf3WQWpznmASJp627Mpl4ajBdaWRhDA1aY20S1skiSO4/5QEz/pJR6k8pigVFhrvrzrbA7jl5NN6GyZHvq50AW0CpSMoGEyQArI4yuLqiFecph57zWAGpxbimoHnMdD3mkUdQ85pR5zBkMhk3UVBZPCnN17XHZ/Ak4zTJXIxPtPV//wtys2R7IDADMNID2ZXzmYqu5RUW1siQizMoy1KiaI+se+Bgju1aDyNkvY1tnHFRK44sXHsHG5x4y/aLyGcU8ZTU6MZec5JOBsLLEElQbwV5KxVxNZfFZ+PSLpW3tGqx/4h7sfO+Nkj6Pl6RjUXz2yB3Y8PQDeck/elcDrE5Q1BMd1cufStlPCQByIhOtFHNqZWVhijmDwXCGNmDIKysL4Lgw54SsGu3EzhLIFObxRNoyPhhwbmUBcnzmNpNZ1ObPWIAp5kONqvGYR9CDQDoFgn5yISGI7doGQO3w1v+TZBXzIq0sZSzMVbU86CN5zX9eUyorS3+0qMRgqP+/YsXCB4JKo5IsIx3rgxguJsBXIXe6aiqZhj9gbyG3q5hbNn+ql4A5zlT7EluCEP3mr0100MDKYDAGL1kriwdohbn5YtYRTaEhlF2DCCHgRRFSKuWoAVSzssRLY2UBMkOGJHtZ5kBWMU8JIlKCANHmFQC2Llc+VaOYqxRcRsu5HG+WZc5rcYmDxGPeWJ9NZClh4ydQxsI8Z7jQYIEQok0ATcW8iUzkeR5cRq1Wp3/qPne/KC/15MzKY65N/jQcMJTzHWCqOYPBsIEXVpa2joyFMROXCOrcWiq4mf4ZUBVzZ1aWlERsTVsGgLCaZW4zMlGUJIgZ1T8+iI6JDGuqpjBXz9YL4hIJyRkyZPwNysYlSrZGoPdnYBTz0jd+AkAirhbmpY1LlOKKYs57NEGzWOz413d1xSCE1CFDfZ48LyGkuCFDNhVz2UDbIjnfIcqSWRgMhg28TWVx5zEHspGJ/Qtzs54op82fflHxjQP2VXMnVpZQi3IM1CITQ8zOMpSomqOqWUc4yXzJZRObiiAUqZgPQPNndupnaf+Z1eKwbFaWQTD1MxcxqA4Z6vFsn9qQIZsHCsC+Yp5NZTH3mAPMZ85gMOxRCaksQE6WuQPFPOCw+ZMQoh3zozZ95uqQoT4HQ4aykYlZsYoNGRr8VE1hnnW2GRfmRtM/gVwrS/GTPx2kNBVFNpGlTIp5CZs/5VQKcsYTaNfKUgmJLAA0xTzlkWIOuItMdJrKYukxB7KyEIPBYJjgaSqLWpibHLONcJNlrlpZ7HrMAfs+c36YcjzLWlnst/6pkYkxFpk4pKiawlw7W9epirXC3CQKsdjJn+qXlFLAgchZFD3RMllZkqX3mKv+ciIImamfgwdRs7J44zEHUJyVxaZiLhssD3lWFn7glpC1a9di1qxZGDZsGAKBAMaPH4/LL78cqRwl7KijjgIhpODnuOOOM9zvK6+8gkMPPRRNTU0IBoOYNGkSbrzxxoLttmzZgu9///vadlOmTMHq1atL8l4ZjMFOJaSytMdSWpZ52kHzJxGVJJa41cE7J4ktK8bZew4rK0tYJz5RtbLEQ5Vh7wSAlStX4sQTT8SIESMQDocxffp0LF++3HD7++67D4QQnHTSSXm3b9++Heeccw5GjhyJUCiEb37zm/jss89Mn/vWW2/F4YcfjoaGBjQ0NGD27Nl44438FDe94wEhBL/73e9cv2evqZpUFgk8JCJATzHnRD+oLIOanMkbNn8G64BYl+XzCzyBKACpNBAL1SKQ6rZ8TLFkp37aK576NwvaRbVT+EtYmBNBROPE6QClSl/AICLQ2IL6CXsj0Njq2T59LhRzUcg0JBWbygKASDIozw2ox1wURcybNw/77bcf6uvr8e6772L+/PmQZRnXXXcdAOChhx5CMpk9Mra1tWHatGn43ve+Z7jfcDiM888/H1OnTkU4HMYrr7yCH/3oRwiHw1iwYAEAoKOjA4ceeihmzZqFJ598Ei0tLfjss8/QYJFXzGBUK56msrjMMQfcWVn8mf6pRNz+8zlNZglzzhVzzWNeQYr5a6+9hqlTp+Kyyy7DsGHD8MQTT2DevHmoq6vD8ccfn7ftxo0b8fOf/xyHH3543u2UUpx00kkQRRGPPvooamtr8fvf/x6zZ8/GRx99hHBY3866cuVKnH766Zg5cyYCgQCWLFmCY445Bh9++CFGjRoFANi6dWveY5588kmcd955+O53v+vhX6E4qqYw/wjT0NrYonvfhG+dDgAIh4yVWE0xd2llARSfeSpNEU1QNJShnjG0skSKKx76N7+qVharCKZiEINhtE47uGT7LyXBxlYEPSzKgRwri4NYK8Hm5E+tMDe5oEaoDArO1GPOt4TBB80/E7yTPLF+jB8/HuPHj9d+Hzt2LFauXImXX35Zu62xsTHvMffddx9CoZBpYT5jxgzMmDFD+33cuHF46KGH8PLLL2uF+ZIlSzB69Gjccccd2na777676/fCYAx1VCuLeciqTYrwmKtDhtJJB1aWzLHNUjHPwWmWeYhkPeYU9k5gQhkrS7LGft9VqdflX/7yl3m/X3TRRXjmmWfw0EMP5RXmkiThzDPPxNVXX42XX34ZnZ2d2n2fffYZ/vvf/+KDDz7APvvsAwBYtmwZhg8fjn/84x/44Q9/qPvc/ZX52267DStWrMDzzz+PefPmAQCGDx+et82jjz6KWbNm5R1LBpqqsbIUi6qYu7WyAOVPZunJpLIU1fxpY5iCamUppWKei92pn+VgoHzsbhRzrfnTUjFXJ38aHxqIOtjIo6sX3d3deT+JRMLxPtatW4ennnoKRx55pOE2t99+O0477TRDxUWPd955B6+99lrefh977DEccMAB+N73vofW1lbMmDEDt956q+PXzBjcJHZ41zcy1PE2laWI5s+MlcVRjnlmVoTdVBYgVzEvXCNJQ23BbapiLhMOCfC2nkNVzKP+0ijmXqzLANDV1VUgklxzzTVobW3FeeedV7C9+jyBQEC7jeM4+P1+vPLKK7afNxqNIpVKFTy3yvbt2/Gvf/1L9zUMJKwwt0k2laUIxTzzRY2XIcs8kaJIZdaQUnrMKaVlmfyZivYiFe01jbSsZKRkAomudsgOLp+aoV6dcJTKkrk+lpbMPw9WqSxA1mfulZVl9OjRqKur036uv/56249VL1vuueeeOPzww3HNNdfobvfGG2/ggw8+MFRb+rPbbrvB7/fjgAMOwE9/+tO8x33++edYtmwZ9txzTzz99NP4yU9+ggsvvBB33XWX7dfNYFQTJUllcZNjbhCXaIZfnfzpwMoScugxFwiFn+Qns4g6vvK858go5nF/AHIJbIXFrMsqDzzwAN58802ce+652m2vvPIKbr/9dkMxY9KkSRgzZgwWLVqEjo4OJJNJLFmyBF9++WWBFcWMyy67DCNHjsTs2bN177/rrrtQU1OD73znO87eVIkZ0ML8P//5D+bOnYuRI0eCEIJHHnlEuy+VSuGyyy7DlClTEA6HMXLkSMybNw9fffWVq+cajQ0Y3v0OfOnCyLptb72MTSsfR8/ObYaPL3bAEFDeyEQ1w9wnAj6xdIV5rmLrZfNn/5H1O99/A+ufuAfta9/z7DnKyRfPP4wNTz+AWPt2T/bnOJUl0mBbMRcySQeSycVUdciQV82fmzdvRldXl/azaNEi24+9//778fbbb+Pee+/Fv/71LyxdulR3u9tvvx1TpkzBgQceaGu/L7/8MlavXo0///nPuOmmm/CPf/xDu0+WZey333647rrrMGPGDCxYsADz58/Hn//8Z9uvu1Ip57rMqB7UnnFPCnN1wJDF5E89eC2VxYXHPJEG7T8LxaA3SxXi7MYlAkDI4ZAhfyoBLiNWxXPUZa8oZl0GgBdffBHnnnsubr31Vs2S0tPTg7POOgu33normpv1Z8KIooiHHnoIn376KRobGxEKhfDiiy9izpw54GyegCxevBj33XcfHn744TzlPZe//e1vOPPMMw3vHygG1GPe19eHadOm4Qc/+EHBGUs0GsXbb7+NK664AtOmTUNHRwcuuuginHDCCa6SD8LoRShF0UkLv4zxjh2It+9EOm5skcgdMOQW7YtahsK8J1qeDHN16ifHcdrfqBTkTv20s5xWSlQioFhvxFAEyZ5OpHKSWfqPi3aCT0tlUf4aUakZIX6X6WOcprKYKuayqph7c9JXW1uL2trCy7t2GD16NABg7733hiRJWLBgAX72s59pJ9OAstbcd999hmq6HqpnfMqUKdi+fTuuuuoqnH660o8yYsQI7L333nnbT548GStWrHD1HiqJcq7LjOoha2XxYGceeMzdWFkoBVIpGXYkqP7Nn6ShAbSjw/QxYS6NDtmPKBH0cioKIFBU895QBLFQCKFo1MYrs08x6/JLL72EuXPn4sYbb9T83QCwfv16bNy4EXPnztVukzMnWIIgYO3atZgwYQL2339/rFmzBl1dXUgmk2hpacFBBx2EAw44wPK5ly5disWLF+O5557D1KlTdbd5+eWXsXbtWtx///2u3l8pGdDCfM6cOZgzZ47ufXV1dXj22Wfzbrvllltw4IEHYtOmTRgzZoyj51IWBaofl5gpQGSTs28+4wNIF6OYl8vK0liP3g3KalDOqZ+lTEvJDheyV5hXGnanf7bHUmi0aMwB3OaY2/WYm0/+BLKKeaXlmMuyjFQqBVmW8wrzBx98EIlEAt///vdd7zfXX3nooYdi7dq1edt8+umnGDt2rLsXXkGUc11mVA/eWlmKSWVRyuq0RY55X7oZYUEROwSBB8cRyDJFPJ6Gz4ae4jSVBXA2ZCjUEkJ0ZxTBRBy9oQjiOcksjQ1AX5v95/WalStX4vjjj8eSJUu0hnmVSZMm4f3338+77fLLL0dPTw9uvvlmTWhRqatT+tw+++wzrF69Gr/+9a9Nn/u3v/0trr32Wjz99NOmRfztt9+O/fffH9OmTXPy1srCoEpl6erqAiEE9fX1htskEom8A2h3txJLSE0HDCkHcDP/smuPeaQB6FXOkstpZVEbP0tdmDuZ+tlWRKd3Op4pzIODa+qniqgNGXI2/bMtlkKTTqFe1IAhu6ksZfSYu2H58uUQRRFTpkyB3+/H6tWrsWjRIpx66qkQxfy/2e23346TTjoJTU1NBftZtGgRtmzZgrvvvhsA8Kc//QljxozBpEmTACjWjqVLl+LCCy/UHrNw4ULMnDkT1113HU455RS88cYb+Otf/4q//vWvJXzHlUkx6zKjetAGDA1w86eQE5dotL72hxACv59HLJZGPJ5GrY3C3KnHHMhaWfqIaEsxB4BQQjk2xmwO3is1L774Io4//nhcdNFF+O53v4tt2xSLsM/nQ2NjIwKBAPbdd9+8x6hrR+7tDz74IFpaWjBmzBi8//77uOiii3DSSSfhmGOO0baZN28eRo0apXnflyxZgl/96le49957MW7cOO25I5EIIpGI9rju7m48+OCDuOGGG0ryNyiWQVOYx+NxXHbZZTj99NNNL61cf/31uPrqqwtuNztbT6mX5U0Uc05NZfFAMY8mKNBYD7R3ut6XFb1RNSqxxFaWIqd+ttso1mVJgpxUDupCIATEyzQ61SZtnXE01Zt71ASPhwxpqSxOmj95uznm6uRP488OT7Ie84HSzAVBwJIlS/Dpp5+CUoqxY8fi/PPPx8KFC/O2W7t2LV555RU888wzuvvZunUrNm3apP0uyzIWLVqEDRs2QBAETJgwAUuWLMGPfvQjbZuvfe1rePjhh7Fo0SJcc8012H333XHTTTfhzDPPLM2brVCKXZcZ1YNciubPInLMncQlAkAgICAWSyvJLDXW26tCXDSpWGDsXFzMZpnbtziqDaCxChkydNdddyEajeL666/PaxY98sgjsXLlStv72bp1Ky6++GJs374dI0aMwLx583DFFVfkbbNp06Y8z/myZcuQTCZx8skn52135ZVX4qqrrtJ+v++++0Ap1ayJlcagKMxTqRROOeUUUEqxbNky020XLVqEiy++WPu9u7s7c2kk863QsbJAU8yNKxZNMffAY16e5k/VY145irlbpIxaTjgOnM8PxCvHP24XTTGPeROv5kYxFzPHMqvETztWFk49mSXEcCu+NQg+ZP654J10RvXj1FNPxamnnmq53cSJEwsatnK58847836/4IILcMEFF1ju9/jjjy8YmFFNeLMum+NvHZxXyBiFVE4qS6b504HHHOiXzBJstBwsqB7vZUqQlCj8NqotqyFD4dYQ+nbk+8jDajKLzSFDpV6X77zzzoI11c5j+nPhhRfmXaXUo3+hv3HjRlvPt2DBggKLTSVR8YW5uvh/8cUXeOGFFywbEfx+P/x+f8HtZouC6o02K8x5DxXzclpZ7E79dEvWY57/Re9NeTcBUbWx8IHQoJv6qSIEs4o59WB6abb504VibnAs44eFIG2P5jR/mnjM1ULXo+ZPxuDCq3WZUT14amUhHijmDqNrAwHlOe1mmYsCwHOKEBJLwrQwV9fecK6VxSZqlnmylp3EDhUqujBXF//PPvsML774oq4/1C4URFsYCuB4gONMVTXewxzzWBlyzA2nfnqMOlzIV8Kpn7w/gMaJ08EJFf1xNUUMhVE/YW9FObd7XVOH3lQDImKHuWIerNNVczSPeb9zS9JQC9qR9fza85hnrCwD6DFnDAxersuM6kE96nlyROLcxyXmesydENAUc3uFOSEEIT9BT4wimgTqbThNirGy9Pnzn6ChHsAO27thVBADWun09vZi3bp12u8bNmzAmjVr0NjYiBEjRuDkk0/G22+/jSeeeAKSJGlG/sbGRsee5vWYiE0Io8EfQn2/+2qnHYnmuqBpdJ0nkz992VQWSmlJvbk90TI1fxoo5l7ii9ShddrBAOxN/aykqEQVThAxfP8jPNufVpgn7B9c1JASKzeWWO8DeqysLGphzhTzoUY512VG9aAp5gPuMbeXytKfQCBTmCccDBkKKIW53dyDkINUFu0xavOnP6BYC00ERsbgYEAL89WrV2PWrFna76oH8eyzz8ZVV12Fxx57DAAwffr0vMe9+OKLOOqoo8r1MgHkprKYF+YkXA/a16l7n6qYUwrEk0BJhug21iOVplDrtZJbWRKl95gPBXZ1xdBc592/uNr8KcsUkiSDtzHoR7Td/Dk4UlkYpWEwrcuMwUM2x3ygPeaZtVOSTCOS++MPOFPMAedDhlTFPEV4JMHBB+vXF0jEQWQZlOMQ9wcQNJnHwhgcDGhhftRRR5naR8zuKzdZj7nk+nUJPIEoAKm04jMPliiZRbWxCDxQ4DCJ6Hu/jaaXWaFaWfwlLMyTvd0ghCiJLBWKnWQWKZVEOtoLThAhhm209Zsg5gTpJhMpBEPW/l3bcYmZA6dsMjBKHTDEPOZDj8G0LjMGD2phzg24Yp5dOxU7i73eB7/fpsc8NyLZJDKxv4UQAHyQIUBGGhyiEOFDAmJrCKkdxoODOADBZBzRQAjxUJAV5kOAqpG7WrANE/AJgsnC6YjxLz/Dl688iZ3rPjZ8fO5US1l2v7CEyuAz1xo/g6TkzZJq86dYwkvY2995Bev/tRxdG9dab1zB7Hz/DWx4+gF0rP+o6H1xHKddxbHbAGp3wBBnZ8AQ85gzGAwHeGplUa/myYVCmZXdkeN4kMy6JfWzs5iFFqhWloQDxTykKeb2jsOEZFVzu0OGgJzIxArJMmcUx+DtpnNICL2oJ1GkpeaC+9K9nYh/9QWijcZNTLmFeTotwdZMXh2CPoKuPopoQgZQmhH22cbP0hdNao52KRXz3OFC9pfEykMMKV3zaYdDhgz35/MhnY45KMyV/7ermKcz5+16EV1aXKKJYk7qa0HC5p8L4nMfy8VgMAYPVlaWjl1RNDTbLCy5nGMnlbMpLTYghIAXRKSTCUfJLJxYDyATl2gTd9M/0+iSfc6GDMWjAJpsZZmzdbnyqSK5i+T8L9DWkT2rVs+e7cQlAtY+czPUL2o8YbFhEaiNnzWh0tsMEonSN3+qOeaVbGWxgxhS7CupaDbLvCPqfhqq0yxzu4q5wBRzBoPhMSUZMASAWnSz662xghaZaL8A9QeUx8QdDHVzM/1Ti0x0oJuqkYmVMmSIURxVc1TNZqDoLAqZy2KxpHGRRAgBl2mwS1fqkKHGegAeKubBOstNSlGY5y6kVJaRzlym4wPWzZOVmMiiok3/jA3M9M9cxdzMJsxlFC3JtDBnHnMGg2EfdclwsmJ0thkMZMttTHfhMxcy1ksnkYlaYe7KyqL8Thqs53u4iUwMV9j0T0ZxVF1hrhclpCrmVpmoAm8vmcUMrUs74X4fVpQywzzazwqULHEqi5RMaCt6pSvmVicF2vTPaJ/p1Rm7uFXMKQhkanyQsDP5k9iwsjAYDIaKl6kshBBNNW/vcD5NmXejmPuNC3Oj8IRgwJ2VBTAeMhRuLTwOhjJXldmQoaFB1RTm2fN0nYKIWFtZAIDPDLhJezBkKF5CC9eAWFl8pRkwlI4riy7vD2ZPoAYpQiCkdPdQWfPNF0O2MDe50pNzwMgNWTE7t+RtKOYcs7IwGAwHmE3fdkURySyCoGaZO1fME05yzP3K+uhkwr2T5k/teTJWlqi/JCHMjDJTNUdVs0XBjsccgJYV7Vgxz4koVIcMaVaWjP3ES8rV/JlOS5AyA5dKpZirNpZKV8vtQDgOQjDTABozVnnabcorzhXz7H+bnVtqijkxDjZjVhYGg+EET1NZgGzDp8Ms8/ZYKsfKYr9iDvjV9VaynczmNMccyPGYGyjmeqipLFF/ELTESWyM0lM1qSx2PObU4MxbHYOuKeYeeMxLaWXpyRTmNSWe+pnImToplkgxF4NhNE6aDt4XsDX1s5LZ1RVD415TIafT4D1QNpx6zAkh4DlAki0U85zviASiNYPm7Uu1spgMIWIwGAwVTwcMAZ5kmTtRzH05Q0Hi8TTsXJBWPeYpiSAlUYgm4TH8sBCk7VFEXHjMg4kYGzI0hKiawvwr7IaddCLqg2HU97svMHoidtt3Wn5DiQ5qZGI6LSPvYkOwDoh12XodJW3+BCBJVNt3KTzmuagFoegTwVlYGtqcmOxy8Nc1onXqwQCs82kHA417TXX8mLZYCk3BwkXaqWIOKKq5JFso5jkHTolwEHQUKS2VhWfqDIPBsMbTAUNAcVYWtTBP2peyeZ6DKHJIpWSlMLehrfhF5aKiTJVkFtHGY0Kc8n6cWFk4AMFEHNFgCLFQiBXmg5yqKcwpOFBwise3H4TjQDjrHFR1oIuUluDWBaRaWTz3mGcsMapaznPZk4BSkfWXu7Ox2LVsMPRR/+7OCnOCRIqaKua5B06jBlCOWivmpL4eJGI+VY+IJcwNZTAYA0ZiRx/8rdlmRC2Vhai/FHl8Kkoxz1hZ0ubHoL50M8JCdihhICAglUoq0z9tFNmEEAT9BH1ximgKqLXxGFUxTxEeSXDwQTad/hlqCSG6M4pQIqYV5mhvM35NbF2ueNh1aAeoWeZpqXJTWXozUz8jelM/c7zuXlCODPNkTyeSfd2WWbVAZUQlWr0GKZlAvLMNyZ7Oop/LrWIOmCvmHMl6yCWDwpuo/RjMY85gMGxA8wpxD7PMy6SYA9npn/F42lacMACEAs585j4iQ4Rz1TycCRRgkYmDn6opzGvRgXH4DDXxLQX3pTp34qv/PoedH7xpug+ez1XM3ZGbymK3gcQJPdHyT/3M9d55zdY3X8Ln/7oXPV9tKNlzlJOujWux8ZkHLT9rdtAK88wJUv8oSz3sDhnKNoDqF95q4c7iEhkMhh1kml0rPB0y5KowV1NZ3BbmLqZ/6jwVaajVfYyrZBZWmA8ZqqYwDyKGJrIL/nR3wX1yIoruTesQ3f4lAGOLRb7H3OXr8GUXp3jS+2QWNZHFSVSiUQarFUaKeW/KO2VejUsUAkMjn1Vt+pQSxXsA1cI8lbJ/kFCbj6w+wlwmVlQyWCK4jGLuD9kfhc1gMKqXXMV8oAtzzcqSSjnqf8pTzM3IuTrdf8iQHSIWWeZ6sCFDQ4eqKczN4xKVL7hVXKKgFebuFXOeJ1ADTGLJEijmGStLqRNZgPJYWSQtLnFo5LOq70NKFG+78fVTzO3Aq4q5xUdYVcwlK8WcRXMxGAwbeFWYt3VkRA0vrCyuFXP30z/tUIxinqwZGiJWNVN1hbnuLPJMcUGp1YChjJVFkm3ZBowoyDL3kN6BsLK4bP60Qk6lIGeac/ghkGMOALw/AABI5yjmHVF3TbBFecztWlkMlgjVY86sLAwGwx4k2wA60FYWX1Yxd4KbwjxrZbG/VoZJxmPuYPpnOHNM6QsOjWNlNVNFqSyqYq5TkdhUzL3wmAPKGXRXH0Vf3KPCPMcKoynm5Zz6WarhQpmFhvA8OEEEUNzfvRLIWlnioJQWNug6oFTNn4ADxZxN/mQwGDahICCgA16Y824Vc7/ynHGbsyOAwuZP0tAA2tFh+piiPOa+AGSOA4qYt8Kw5vPPP8fKlSvxySefoKurCzU1NRg5ciQOPfRQfO1rX7OMkDajagrzZF8aCBhYWSwGDKloHnMHnl496ms4bG2X0d7jfTJLuaZ+AtnC3O9hYZ6rHktJxe7B+wJFFbDlpq0zjqb6gO59WmgLpZCTCU1Bd4I68MptXCIApOx6zA1SWTg7zZ8NdUCNxfsTBz5Jh8FglAdFIBv4wlxr/nSbyhIrrZVF9Zj3wv6xNZBMgJMlyByPWCAIGF0NYOtyUbzyyiu48847MWzYMBx00EE49dRTUVdXh1gshra2Nrz66qu47bbbMG3aNPzkJz/RBF0nVE1hrjlY9KwsnFqYWynm6uTP4grq5lrl+dq6vC/Me7TCvPSFbDaVpTSKuZRUslTtFK9eRyW2dcTQ1OC9r51wHDjRBzmVRDoRc1WYq4ii8nlMJtK21XdVMbcSU7JWluw+1bxcIMfKwiZ/Fk0plRcGo5JQ48srpjB3aGXh/A0ANrjymDsZ2xHmMklbxH6JRgCE4jH0hiKIhUII9BQGXTCK484770RdXR1uu+02w22OOuooAMBnn32G3/3ud7jgggsQDjvz/VdPYa4VGGaKub3mT6nYwrxO2c+ubm8Lc0mmiMadp7K4JWtlKU1cohiKoHHSdPD+YNmmfmqNRSWkceI0AAS8aD7kwQoxc0JEKYUkydrn0/QxDuMSDXPMWfNn0ZRDeWEwKgnZJITBMSTzfdCZTGyF2vwppZKgemKdAf6A8ji9wpyE60H7OgtuDwWUNdSOYs4PC0HaHnWsmKuiSTgeVQrzcAjuJR+GEXPmzMGwYcNsbbvnnnvi0ksvRXt7OyvMjdiZrMcaujvqasLoPxaAj9Rjz5POBbFQprQBQ0V6zJvqdBTzxnqgvbOo/ao2Fo5kz9JLSak95v7aBrROPRgASl6Yl6MgV2nee39P9qMq5oCimlsW5pEGCLzyPq3jElmOeSkpl/LCYFQSlHpYmBfjMfdlRQ1ZSgM5BbBqFdQjkBGhYqVOZSHK/qMQoM5INZv+qT2XGpkYDMHbcYIMAAVF+UMPPYTGxkYcddRRiMfjSKVSqKmp0e7nOA7Nzc6DQqrmGikFBwkCKCksXgjHgff5Mw2GWfrnm2qpLG5yzHNyTVUrS1+cFp/MktP42ZtjYyl66qeNqWalTmUpB20dMcOivJzFuhs4joOg2lls+szVuMSUZF5Q8zZzzFnzpzvmzJmDb3/727a2VZWXWKyyP48MhhVmscWO8cDKAgDppJMcc2PF3Ai1+TMlEdhtTwtzyoYy4RBzoJ+y6Z/l5Y033sDnn38OABAEAU899RReeOGFovfLjqoO4G3mmFsN7PGJBLUZq8mubu86p3ujSrEUKZGNpX9EZKkV81S0F8nebshp+4vgYEBKJhDvbEOyt3gPYDaZpd/BxeDESvOYW1lZqFUqi+oxZ4q5G/SUl5UrVwIA4vE4enp68u53q7wwGJVEpRTmhBDwGSFOStuXsv0B5VjnpDD3CQCfqbTsquY8oQgS98ks0RC7slYOpk+fjtbWVsTjcQiCgO9973vYvHlz0futmsI8xEUxButRH9tYcJ+cTmLrmyux9Y0XTfch8N54zAEDO0uRdPQq+6oLleeftdSF+Y53/4vP/30vOtd/WJL921HES6Gat69dg43PPIj2T98z3sZmp5DPYWSi4HDAkHGOObOyeEmplBcGo5Lw1sqSUZJdFOZANsvciWKuesxTKdl2HUAIKfv0z2QtK8zLwX//+1/cc889mDFjBg4++GDMnz8fb775ZtH7rRqPuZ9Po4XsQDwZR4FLS5bRteETAACVZxt6zTkPJn+qNNdy2LBVwk4PC/PtHcq+WupLX5hTSnNSWUrT/KnFJfoDeunzg5Zslrn9or8tlkJTsPDvrCnmNnN1VcXcOi7RXDHnWI65p0yfPh2RSATxeByBQADf+973cNdddw30y2IwPKVSFHNAaQBNwFmWuT/nWBePpxG2ufyFAgQ9MYq+ROF9pKEWtKPw6mmYS2OnBPQ6UMxVK0vfEBnIV+kceOCBOOOMMwAAW7duxZNPPona2tqi91s1hbl2pm4SlwgoySxGhbmmmLvxmPdDSWZJeaqY7+hQFqjhjaVPb8hVaEsXl5jNMTfTNLyOSiw1bgpzI0RRVXCcFeaWVpbMqZChYm7HyhKpByIWkZOU+aYBRXnZtm0bLrnkEtTV1WHKlCnw+/04++yzB/qlMRieIZsN+nOKg8K8I5pCQyi/wOVdZJlzHIHfzyORkJTC3Gb9G3QRmRixsLKEW0Po69cMqlpZkqIPacGgvGPrsmc0Nzfj6aefxrHHHosRI0YgEAhgzZo1OPnkk4vab/UU5qZxidlCVpaNShH7HnM7aFaWbm+SWWSZaup7a33pC3PVxsJxnGWMW/8mWsCeVUNKZBXzgcRNprnZkCEh837ScQ8Kc4eKuejQymLoMZeZYu4lpVJeGIxKojSpLIVr366uGJrrzNdsweb0z750M8LCLu33QEDQCnM01QGxLsuXGlanf+oo5oaPUSMTiU+vbNHFJ6UhppJIiT7Eg0w1LzXHHHMMduzYoV3pDAQC2H333Yveb9UcVdXPte6CkOOTNZv+yWfOQL3wmDdnCvP2HhmS5HKRyklkae+RkZYAUQAaauz7fq0aVY1IxLP+8lJN5ZTVAUO+4vK+9RjIxBU+oCrmWaU/d+KpE5x7zJX/Lz7HnDV/eomqvADIU14YjKFERVlZVI+5AysLkJ3+GbOa/pmThKZ5zFP210vNY+7AygJk7SzRkPcD8hiFtLa2IhBQxLbvfOc7OO+884reZ/UU5jmTPzvb+vLuI4QDMgWG2ZAhPtNanfbAylITJPAJyutq7yl+f6q/vLWeL8v4erUQLJWNhUoS5LRSrPK+gR+V4GUh35VQ/n2kZNzRcAs9xMzBxevmT05n8mfe/RnFHKz50xOOOeYYzJgxA/G4crLmlfLCYFQSlZJj3h5LaZGJkoPmTwAIZgpzZ5GJmSFDjhRz5XXZbf4MtSgKudoAKjfXmG3OqGCqzspitCAQwoFSybQwF1TF3AMrCyEEzXUcvmqT0dYto6VI+8n2jL98WEOZElkyirm/xP5yEIL2mFyWk41ywalXACiFnEwUZdVxqpjzDhVz6wFDVXNuX3JaW1u1//7Od74zgK+EwSgNlaSYax5zl4q5o8K8XyoLaWgA7dAfYqRS43D6p4qmmPuZlWWwUnWFuZFZi3AcqCxBNrWyeOcxB4CmOh5ftcnY5UED6A5VMW8oz9hu1WMuliiRhXA8GifNAJXSQ6ooB7LvjRdF7UqNW0S3cYmWqSzmA4aYlYXBYDhFLkVhTmVQKitXvh3g2soSzFhZXAwZ6rPxVPywEKTt0azHPMfKYm/6Z2bIUGDgrzRXG1999RX+/ve/Y/To0dhrr71wwAEHuNpP1RTmUSmA9+h+qK3Lz/dUm/R2n3MaCOEQiEQM98Gb5ZgH7TWB5KJOAPWkMO9UThZa9aISnU79tIFamPdXzHtT7p8r12fN+wNonXoQAKWRx0vc2lLcNIEaob63YnFemCv/X2zzJ8eaPxkMhkNU516yNwEYH2rtwWVFqLb2KJqbnO1Qa/50kMoCFKeYx1zkmKcIjyQ4+Gwm2WiRiUwxLztvvfUW/v3vf+Oll17CBx98gNdffx0HHeT8WF81hTkFhxT8kDn9y0JiUCnYjaISAUDwWDFXG0B3deXsz24yS07jZyJJ0dmrrHjDyqSYqykgqseZMTBkU1mMfZIkXA/a1wnAvmKetbKYK+ayicechOpALPLEiMQ+P3p4pbwwGJWEZmUhHirmgG4yixVCxlKYTiUN50To4aowd6CYq/iJDB8kJMGjFz40wl4ssGZlCeiLSGxd9o50Oo1UKoVgUPlb77PPPnjppZcAAPvuu6/r/TK5ywGqYp5Oy0U37QH5kYnF7G97Ri2vDREtL7XUGCnmXpFOxJDs7YaccpdWUiq8agKVEnHEO3chFe0taj+qxzyVsneyaJTKQhryo/l4qlpZzD3mxVpxGPqoyssZZ5yBQCCA119/faBfEoNRNGphznlgZVFCGzIljAufuVvFXGv+1EllMUo5U+MSY8mcIAob6NlZLB/DhgyVjSuuuAK//e1v8fHHHwMA2tvbPZnYXDWFuUDS2A0b0dj3me79uz56G9veehmx7k7Dfagec0DJDS+WxhoOhACJFNAbc7+/cvvLgWxhXqpUlq7PP8Hn/74X29552XQ7p8OFyhmTaPbadr7/OjY+809t4qxb7Cjmudi1snCWijmzspSSuXPn5ikvbi6HMhiVhpbK4tX5fBENoILL5k/Or9g1nXjMVcGMgjgaMqQ2gBols4RbC4vvYCIOIsus/6cMTJs2DVdeeaW2Vh9wwAHYvHlz0futmqMqBxnDyFbUxr/Uvb9702foXP8hkn3GCmZuYe7KztLP6y3wBA2RjJ2l273PvNyJLEDWylKOqZ+VhhfFvTr9M13k9E+f27hEuznmRoq56jFni78npNNpxGLZz8KGDRsG8NUwGKXB01QWoLjC3Od88icABALK45xYWXiOIPMw9OlEJva/YqkSyUQmOklm4ShFyIOp0gxrPvjgA2zcuBFNTU3abV6EVVSNx1zFMC4xo/xRapZjni3MJQ+yzAHFztLeI6OtS8buw93tQ80wL5e/HMhVzEuTyqJN/azAwtwL1MI8d8iQGwSf8hVOOWz+lGSia59SEwFsDxhiOeaecMUVVyAQCOCUU07B5MmT0dbWhg0bNuDrX//6QL80BsMzZC9zzAGAy5QwRSjmkkPF3B9QjnmWA4b6EfJziCdlLTLRDhFt+qdoe/onoNhZ2oIsx7zULFy4EMcffzwSiQRWr14NQRAgScX3IFaNYp53pq5TkKhRS9Tkj0oIAacOGfLgjw8YJLM01lv/ZKCUZhNZvFLMg3WWm2iFeYmaPyV16mcRGd+VjJCJspJcKhtq+k1/xTwqNZs/L58tpM0G2PKZBAC9HPNIowiOWVk8Re+S6Jdf6l/dYzAGK542fwI5irnz5k/eRDE3Sxdzo5gD2QZQV4W5TY+5OmRIjUxklJampia88soruPrqq9Hc3IxDDjkEixcvLnq/VXNUpQaX5FU0xdxkwBAACGpkokeKuW4yiwM6eymSKYDngKba0v1z9i/41AFDpbey+D3bZzn95VZoVpa48Wtqt2FGzI1LtNNAnOPGQlpWBl3owWlWFgPFXGY55l6id0mUwRhquLGy9J/UnUcRVhbRbY55RjGPx+2tuSphV4W5cysLAERi0WyDPqOk8DyPuXPn4kc/+hG2b9+ODovBUXaoysKc6OWBZgpzswFDAMBnpn96H5nortBX/eUtdRz4MtoKVIW2dIX50FbMs1aWbGGem+NuF7Uwl2Wqn6/fD45kG6/MglyscswrpfmTUoqlS5dir732gt/vx6hRo3Dttdcabr9y5UoQQnR/3nzzTQDA2rVrMWvWLAwbNgyBQADjx4/H5ZdfjlQJE4IWLlyI008/Hddffz0uu+wy/O///i8++uijkj0fgzEQqM2fnOeKufPjsTr5U0qnIVsIcrkEgtljnpsscyeRiXlWlgyiTsNnf/bd8DG+t/Ix+0/kIfF4HOeccw6mTJkCQRBw0kknFWxjtA5v27ZNd5+LFy8GIQT/8z//Y/rct956Kw4//HA0NDSgoaEBs2fPxhtvvGG4/Y9//GMQQnDTTTc5eIdZ7rrrLpxwwgm45JJL8NZbb+Hss8/G/fff72pfuTg+qr744ouG9915553FvJaSYnXyqArgVoq52gDqmcc8o3J3RymSKeeLleYvbyyfvxwofSpLpXvMi1XfuzOLs5RM2FZd2nQUdFHMtonYaQAlhOT4zI23E+uUf1fZUDG30fwZrFVsUaY/+k1Pdrnoootw2223YenSpfjkk0/w2GOP4cADDzTcfubMmdi6dWvezw9/+EPsvvvuWla4KIqYN28ennnmGaxduxY33XQTbr31Vlx55ZVFvVYzir0kOljXZUZ14X3zZxEe8xwbphOfOc9zEEVlXYzF0ubWz5zAB83Kksj8DQyuVgJKrw+QLcz7HCrmgiwbewRKvC5LkoRgMIgLL7wQs2fPNt127dq1eWtxa2trwTZvvvkm/vKXv2Dq1KmWz71y5UqcfvrpePHFF7Fq1SqMHj0axxxzDLZs2VKw7cMPP4z//ve/GDlypP03148vvvgC1157Lfbbbz/cdttt2HPPPU3XYrs4bv78xje+gYULF+K6666DmMkBbWtrw/z58/Hoo4/inHPOKfpFlYI8K4teIZQ58zYqzHtTDYiIHdksc0lCVGpGiN9V1OsKBTiE/ATRBEVbt4wRTc4K7B0dFv5yk6mfRpmrdih1Kkv9+MlIJ2IQgiHYnKswqCBiAA17TYXgDwKyDPDuTqw4joMgCkin0kgm0wiFrK0/AkeQAjVNZlEVLT2POQBwFdD8+fHHH2PZsmX44IMPMHHiRADA7rvvbvoYn8+H4cOzXdapVAqPPvooLrjgAq2bfvz48Rg/fry2zdixY7Fy5Uq8/LJ5dGexqJdEjzzySDz44IPo6OhAg8nBO5fBui4PZhI7TCwWDF2smj87dkXR0Owgf7sYjzkvgON4yLKEtMOrYcGggFQq6UgxD7sYMqQW5knCIwEOfpvTPweScDiMZcuWAQBeffVVdHZ2Gm7b2tqK+vp6w/t7e3tx5pln4tZbb8VvfvMby+devnx53u+33XYbVqxYgeeffx7z5s3Tbt+yZQsuuOACPP300zjuuOMs92vE2LFjMWXKFEyZMgWnn346KKWepLI4VsxlWcbvf/97HHjggfjwww/x73//G1OmTMEjjzyiHRDs8p///Adz587FyJEjQQjBI488knc/pRS/+tWvMGLECASDQcyePRuffaafQ24FBcEHdDo21R8CSgqLoMjeB2P8t85A07g9TPfDa9M/zb8gTore3EFDTtEU8/ryKebptKTZJtwU5na80y1TDsSIA45UClcPqCR/OaD0NAybPhNNk2eAuCzKVdTvnXqyZIWdLPNyW1m6u7vzfhIJnUyxfjz++OMYP348nnjiCey+++4YN24cfvjDH6K9vd328z722GNoa2vDueeea7jNunXr8NRTT+HII4+0vV+nFHtJdLCuy4zqonTNn+6spbxPHTJkvd7kEnCRzBIOKGulE4+5n8jwEeW9OVXNvcDNuuyE6dOnY8SIEfjGN76BV199teD+n/70pzjuuOMslXcjotEoUqkUGhsbtdtkWcZZZ52FSy65BPvss4/r1w4Ae+65J6699lps3boVgDdRiYCLwvyxxx7D8OHD8e6772L//ffH3LlzsW3bNkydOtXxdLq+vj5MmzYNf/rTn3Tv/+1vf4s//OEP+POf/4zXX38d4XAYxx57LOJxNxIqQQJBpPmQ7nQDPhCGL1Kr+c6MEDQrizcecyA3mcXZPpMpivYeNSqxfF5ftfETyE6eLBW7uiqroHaK0wFIbhC16Z/2DhLqeYDZuSVP7DV/gnhzUXr06NGoq6vTfq6//nrLx3z++ef44osv8OCDD+Luu+/GnXfeibfeegsnn3yy7ee9/fbbceyxx2K33XYruG/mzJkIBALYc889cfjhh+Oaa65x9J6cUOwl0cG7LjOqCS8nfwLILmYuC3NBVK4wWmWZ96Xzww+06Z9OPOaalcXJKwQipNBnnovekCGvcLMu22HEiBH485//jBUrVmDFihUYPXo0jjrqKLz99tvaNvfddx/efvvtop7zsssuw8iRI/MK+yVLlkAQBFx44YVFvQcA+MMf/oB169bhpJNOwqRJk3D22WfjvvvuK3q/jq0sxx9/PN566y3MmDEDO3bsAKUUM2bMwKpVqxxH582ZMwdz5szRvY9SiptuugmXX345TjzxRADA3XffjWHDhuGRRx7Baaed5vSle0LWyuLdJaVml4q5GpMYCRKEg2UcLpTxMos+0fIMUc8XbYWcTiEdj1k2fpaj6C0l6XgM6VgfhGAIQhHjk7PTP50MGaK2FHNZ0Ffz8zr+PbCzbN68GbW1WV+j329tyZFlGYlEAnfffTf22msvAEqhvf/++2Pt2rWavcWIL7/8Ek8//TQeeOAB3fvvv/9+9PT04N1338Ull1yCpUuX4tJLL3XwruxT7CXRal+XGYMDzcpSpGLe1hFDU0Mw6zF3GV8s+nyIwUUyS1B53piD45ub5k8AqOFSaJf96BkAxdzNumyHiRMn5q3PM2fOxPr163HjjTfi73//OzZv3oyLLroIzz77LAIBd31mixcvxn333YeVK1dq+3jrrbdw88034+233/ZE3T7uuONw1llnAVDU+VWrVnnStO+4mvvPf/6DI488Ejt27NDe2Jo1azB79mysX7++6BeksmHDBmzbti3vTKeurg4HHXQQVq1aZfi4RCJRcPlFZQQ2o7FvHTi58MuU2P4Fdry7Cl1fmY9T5XnvFfMml8ksqo2ltb68yRiliErMTSSJ7tyKz/99Lza9+Khn+y8Fxdpjtr31H2x89p/o+fLzovbjy4lMtINgQzHXPOYGLURcTmHuhZ2ltrY278fOAWDEiBEQBEErygFg8uTJAIBNmzZZPv6OO+5AU1MTTjjhBN37R48ejb333hunn346Fi9ejKuuusqT4RF6FHtJdDCvy4zqoWSTP6lzjzmQTWZxOv0zqBbmLjzm0aR1GEUubrPMvcDNuuyWAw88EOvWrQOgFNA7duzAfvvtB0EQIAgCXnrpJfzhD3+wNcRn6dKlWLx4MZ555pm8ptGXX34ZO3bswJgxY7T9fvHFF/jZz36GcePGOX7NDQ0NWpJMKBTC0UcfjQsuuMDxfvrj+Ig6a9YsfPbZZxg/fjxeffVV3Hfffaivr8crr7yC6dOnF/2CVNQ3O2zYsLzbhw0bZhipAwDXX3993qWX0aNHZx+LraiPfwGOFhbmqV1foX3tu+jZudX0ddn1mDuhuU7ZZ1u37CgXVW38LOfETwBIJJW/n7/UUYkeJbJUmr9cRfBo+qdmZbFdmCsHCFMri5ZjbuAxz2mSHqgG0EMPPRTpdDqv8Pz0008BKAq0GZRS3HHHHZg3b54tD7Ysy0ilUo5i1ZxQ7CXRwbwuM6oH6vnkTzViyvqEWS+OVnCdZZ6xsjjwmKtWFpkSxHWEdtKgn4SSjUwsv2JeTtasWYMRI0YAAI4++mi8//77WLNmjfZzwAEH4Mwzz8SaNWvyprD357e//S1+/etf46mnntKStlTOOussvPfee3n7HTlyJC655BI8/fTTjl/z008/jX333Rdnn302br31Vnz88ceO96GHYysLpRTz58/H73//e4TDYRx00EE47LDDcPbZZ+OFF17w5EUVw6JFi3DxxRdrv3d3d2sHAXUp0A3eV3PMLSwqglaYe6ec1YcJeE5pxuvqo6iP2Ct0tMbPMvrLgaxiLpZs6qf3w4UqEdWqYzZkyA5a82f/wjxYB8S6Cra31/ypYOgxt6GYR6UmCFLE+EkARCX3J1+zZ8/Gfvvthx/84Ae46aabIMsyfvrTn+Ib3/iGpqK/8cYbmDdvHp5//nmMGjVKe+wLL7yADRs24Ic//GHBfpcvXw5RFDFlyhT4/X6sXr0aixYtwqmnnuq4kdIuxV4SHczrMqN6UFcN73LM3cclAjlDhhwr5pnmTx3FnITrQfs6C24XeAK/CCRSip0laPPwmR0y5M3aU+p1GQA++ugjJJNJtLe3o6enB2vWrAEATSS46aabsPvuu2OfffZBPB7HbbfdhhdeeAHPPPMMAKCmpgb77rtv3j7D4TCamprybp83bx5GjRql+dCXLFmCX/3qV7j33nsxbtw4TSyIRCKIRCJoamoqGOImiiKGDx9uaX3UY88998SmTZvwxhtv4OWXX8ZFF12EWCxWdIKX48L8kUceKbj0O3LkSDz77LP4wx/+UNSLyUWNNNu+fbt2FqX+bqYA+f1+w8st2chEnUWBqJM/rQYMZawsHnrMOY6gsZbDzk4Zu7pk1EesC21KqTZcqNwZ5qqXub9ibjbG2AlahvkQHS6kwgcKhwy5ITv9057f0Y5ibmVlyTu5HaDpnxzH4fHHH8cFF1yAI444AuFwGHPmzMENN9ygbRONRrF27dqC4UC33347Zs6ciUmTJhXsVxAELFmyBJ9++ikopRg7dizOP/98LFy4sGTvRb0kOnz4cO2S6NFHH2378YN5XWZUDyWzsrgozNtjKdeKedCFYg4oySyJlOwomaVGRzEXW0NI7Yg6eu5y8q1vfQtffPGF9vuMGTMAQHMEJJNJ/OxnP8OWLVsQCoUwdepUPPfcc5g1a5aj59m0aRO4HGFo2bJlSCaTBQEAV155Ja666iqX78aY0047DY888ghOPPFEHHXUUZ7t13FhbuTHBOBJl6vK7rvvjuHDh+P555/XFvzu7m68/vrr+MlPfuJqn2aLAsn848Ys7AA8r/zJXHvMIw1Ab+HI1uZMYd7WLWGPUdb/LF19FImUIvSrqS7lIjtcqDTqoddWlkrFKyuLW4+52bml1vxpVJgDSv46x5kPGSoxI0eOxIoVKwzvP+qoo3TtYffee6/hY0499VSceuqpnrw+uzz99NM455xzcNxxx+Gwww7DYYcdpvnl7TCY12VG9eBV86dGETnmACC49JhzfkWEctL8CSh2lvYeoM9BMkuNx4p5Odi4caPp/ZdeeqnjRvqVK1da3mb1vHq4eYxKa2srzjjjDNePN2JA52n39vZqPh9AaSxas2YNNm3apI1f/c1vfoPHHnsM77//PubNm4eRI0fqjni1g+nZum3FXNnOS4854LwBVFXLW+o48Hx5C6NST/2UPbSyVKq/HMixsnimmNsszDPfelMrCzH3mANZ1by2jBn6QxX1kui5556Lbdu24aKLLsLhhx8+IK+l3Osyo3oo5+RPO1G7gi8bl+gkQSyQ8aE4af4EnA0Z6j/9sxc+r/5qjCK48cYbEYtlP1uq8NPd3Y3bb78dHR2FwqtTHCvmXrJ69eq8SxeqB/Hss8/GnXfeiUsvvRR9fX1YsGABOjs7cdhhh+Gpp55yHZ8DtcjQUdBUxRwWzV2qYu6lxxzIRibaL8wziSxmjZ8mUz+LIVHiqZ+5VpZKn3OmxXa5gPd7a2Wx1fwZaYDAK89namXJHAIoIYb/BkSmoDwGVDEfKpTqkqgbyr8uM6oFtfnTsxxzzxTz0g8YAnKSWRw8nVqYS4RDHAKCKHzOcGsIfRVsbRlK8DyPrq4uBINBfP/738c777yDr33tazj99NMxb9483HbbbUVfPRxQxVy9zNz/58477wSgRIZdc8012LZtG+LxOJ577rm8aDSnZM/WdUoNTTG31/wpea2Y12aTWeyg+cvL3PgJAMkSK+aRUeNQP34y/LWN1hsPAozy1rvTPBr2morGidO12/SSA6woRVwin3OpWbYxZIjhnFzlpbW1FaeffjrC4TC6u7vxt7/9zRPlxQ3lXpcZ1UOlTf50ncqiKuZ2VPYcgSykKeaZv0ODtXgmEIpgZshQzyCyswxVLrzwQq3X5vDDD8eaNWswf/58PProo5gyZQrefPPNop9jQBXzcrMeE0EoRVCoRX9tJzBqDwwbvwc4C/uEFpfocZ6x6hPvjVHEkxQBn3mxs0NLZPHYRhCss9xEs7KUKJWlYY9s13XvIJ/8aQYn+tE8fWbR+xEcFuaq9SktKYOGdLfJuV0yKLxVK8tAxSUOdsyUl7POOssT5YXBqCRkTRzzCK8Kc6epLAHlcamUDEmSYfcorFlZHE7/rOHSiEkCeokPrdT6mBhqCaFna4+zJ2E45qyzzsKjjz6KOXPm4NBDD/VsvwOqmJebOEKIIQxKCr9GnD8If10jxGA47/b+vjNt8qee3GijqDXC7yOoCSpf2l1d5otMKk01Zd2tYk7C9ba3jUr544hL3fzJyNJuQ5HxOZ78qfy/nRxzQLmEqgeR1cK8qpYRzzBTXqZOneqJ8sJgVBKalYV4dMWZVyd/urSyZArzlI6VxSxlzB/IHvtisbTtY384oKyVTqd/eh2ZyHBPW1sbdu7cCQD405/+hJNPPhnhcBhtbW344x//iC1bthT9HFWlmHuBFpfoscccUBpAe2IS2rpl7NZivN2OTmVRCwcIIsHyF0Wl9JhTSpHq6wbvC4ATjfdvZA8ZbKRjUaTjUYihiOt4SK35M+XdgCFCFEVc8ZgTRHQ8jIQqO6AG8lc03QQ+XWP6WqJpFqEHlE55YTAqiUqKSwRyPebOLISEEAQCAuLxNGKxNCIRe8fCUM70TyeokYk9KP6Yy9bl4nj//fdx6aWXIpFIoKGhAcOHD8fMmTMxYcIEXHDBBbjjjjtw7rnnFvUcVSV1NWIHhuNLiFJfwX3pnnbs+nA1ujZ+aroPgbfvMXeiSgNZO4tVA+j29oHzlwOl9ZhLiRg+//c/8Nkjd2BX1+BoZikm+WXLqmex8dl/om/Hl673oQ69sT/5U/l/q3NLPtOLIRtZWZhi7hkcx2nKC4MxVNHiEr3aYU4qyy4X67CQydZPpxx6SwAEg8pzO4lMtLKyGE//zCjmQ3z652DgqKOOwhtvvIFXXnkFo0ePxqefforzzjsP48aNw9y5c/Hkk08W/RxVpZi3YAcipAfb0vUF96V7OtH54WqEhu0G7L2P4T5K5TEHspGJVg2g2cbPgYmpK2Vcopphzvn8IAYWCrtUclSiiqqSS3HnVwB6Uw2IiB0laf4EsskJhtM/ZVUxZx5zN7S1tUGWZbS0tOCPf/wjLrnkEu325cuX47vf/W7etFIGY7BTsuZPUIA6t8eIOTnmevMOzAgGRXR0xB0ls4RzFHOZAnbbc7xUzBneUFNTg29/+9v4zne+AwBIpVJ4//33MX78+KL3XVVSl50BQ2qOuZG3lxfUuETvg/ya65RFxkox39ZRnL+8WBIGkz+9QItK9CDDfDAgZKZ/FpNlLvpVn6TxASL36o1mZbFUzDOFuUHhLRDW/FkM77//Po477jhMmzYN//rXv/D3v/8d69evR1NTEy688EJtPDWDMVTIxiV6dPzkcsQpF3YWNcecyjJkC596Xzq/10pTzOP2FfOQX10ricPpn6pinvWYi60h8+dqNr+f4Yy4jnimFuWAcuV6v/32Q319velj7FCVhbluEgWxl2MulNBjrlpZ2ntkyLL+2TulFDtUxbyx/Iq5LFOtABRdpLLonfDkRgRK2nCh6shEdpplrjcEQxSzJ4uyxecXsDf5E8id/mmgmFNmZSmGclwSZTAqiaxi7tEOCQfNGOOiMOfFbKHrOJlFs7LYV8w5jmQjEx1N/8wOGWIMDN3d3fj973+Pnh57aTdvvvkm/vGPf7h6rqqysqilrrlibjVgyCSVpUhqwwQCryiZHb2ylm2eS1cfRSIFcFy2kC8nqr8cKJVirqxWQ00xb+uMo6m+8GRD0Apz982savMnkElmsWjcFzjr5k8ga2Ux9JjT7BAihn3i8XjeMB47l0T7P4bBGIzIZrNEXEAIAeV4ZcCQiyFDhBAIPh/SyaSLwtx4yBAJ14P2deo+LhwgiMap7emf0vaopphHiYg0CASdGoYNGSotra2tWLBgAX73u98hGo3i8MMPx4wZM9Dc3Ay/34+uri5s2bIFr732Gt577z3MmjXLdRNolRXmSiFL9LxkNgcMaaksJfCYE0LQXMthW4eMXV36hbna+NlSx2l51LqUaupnRi3neV77WxjhZMSxiqaYu0woGWyo77MYKwvP8+B4DrIk20pmsesxz1pZjBRz5jF3Q3d3N/7v//4P8+fPR02Nko6gd0lU5c0338QHH3xQdKf/YMPfyhphhxrZuERkJnB7sHbwQqYwd5/Mkk4mHQ8ZCgacN38CSmG+E84U8yCRwEOGBA59EFEHh7EuDE+IRCK4+uqrsWvXLjzzzDNYvHgxtm7dimg0iqamJuyxxx6YNWsWzjvvPE3EdUOVFeYqhRVJf4+5EZpinvK+MAeUBtBtHTLaumRgdOH920o1WMgmiXhpM8zV5s/Bppi3dcTQ1BB0/Dg+ULxiDihZ5vFYAslEGlGpGSF+l/Fz2vaYK581yeDgaZXK0puqB0nppwxktxmYz/FAUk7lhcGoJKh3eSxZVJ+56yxzP9DXi1TCWTKLamWJO7CyADkNoA6ejhDFztIp+9ALX1GFOVuXi6e5uRlnnHEGzjjjjJLsv6oKc/Rr/swrplTF3KKzO5vKUsSluEgD0Ks/brspY0/5ZHMaqs2cUuWkglLgk01KYTxgUYnJ0iWyAECwqRX14/dGsHlEVWgCvkgdGveaBjFsnitrhSgqhbmdyESnqSxGVhaOKeauKZfywmBUErmFOQH1plDPiUx0gzb906FizvmVq9JOPOZAdshQb1KZvEwaGkA79OuBXCJcCp2yDz3EZzSwmVEhbNmyBel0GmPHjnX1+KoqzLdgDLbTkQj66tG/DOJrGjD26G+DE8yV4Gzzp1KUWKmTTmmtV/b/5U4JX+40XmiGNw20Yl6awrxm1O6oGbU7AGBXl3t7x2CISgSArhSP1umHFL0f0UFkolMri2XzJyvMXbFgwQJ85zvfwRlnnIHTTjsNHGuiZQxxKO1fmHuANmTInWKuhhikHSvmyuOiLqwsgDPFHGCRiYOBU045BZFIBPvuuy8SiQQWLVrkaj9VVZgnEEQCgI8rtElwgohgnfnlHSAbl1gKjzkATBwt4NB9feiNZbQEouj8au1DCFAf4TBu2EBlmJdu6qddhsrUTy9xVpgrHyarjzBnEZfIBgwVR0NDAyZOnAgAuOGGG7QccwZjqNJfMfeEohVzpR5IOVTMA5nC3JZinnOVXC3Mex0X5soJQA8RmWJeoSxYsACzZ8/GBx98gNdff931fqqqMPcCnleKkHRaBqUUxGO1kOcJjt6vchsftamf/aISe1PeNJumor3gBBGcWD2qQCraCykRgxipA+/yfTspzDMfYWvFnFKA2IlLZIq5G2bOnIk5c+agtbUVgiCgvr4ee++9N/bZZ5+8LFwGY6iQW096VpjzxXrM1SFD7hRzx82fwUxcokOvplaY5yjmYmsIKZbEUjGsXbsWW7duxdFHH11UilZVSV016EIrvoI/1VVwn5xKom3tu2hf+67pPlTFHACkYnzmlUiwznKTUk79BIAvnn8Ynz1yBxId3tmDyoVb+8zm//wLG59dgXjHTtfP7UYxt7ayZJo/DeMSVY95VS0jnnHiiSfik08+wZ133olhw4Zhx44d+NOf/oRZs2ZhwoQJOO6447BkyRJ88sknA/1SGQyPIFBD0byKTHSimOfOzACUuRqqYu40LjEQUI6BiYRkOHdEj7BFjjlp0L9yr2WZk+oRrSqRBQsW4KmnngKAgmmxP/3pT+H3+/Gb3/ymKHGlqhTzBrShhWxHe4oDMDLvPppOYue7q0A4HhNmHGC4DyGnEUtKy5rnfDCROwXSKckSW1nUuETO5wdK4xaqONTIRCmuFPYd0RQaQs5Sb3yZwtxR86dNK4tljjmry4ti/PjxWLhwIQ488EDtNkmS8Omnn+L999/HXXfdhebmZvzsZz8bwFfJYHiDDALey3wWrzzmySTaYik0Be2tvYGc7WKxFMLhOiBWKPr1R23+7EsogQ52L7rrKeYF+2ZZ5iUn14K4dOnSAgviKaecglNOOaWo56iqwpzmpLL0P78lmS+3VVwix2erkHRagt9qmssQQ1PMfd6/bzmdBs0Yn3l/AIgOrcrcashQMVnmouhcMacgkGRqeNlMyzE3srLIrPnTK3KLckCJZZ08eTImT56Mu+++GzNmzBigV8ZgeAulBCDUQ8VcLcyL85g7tbJwHAe/n0ciISEWSyMctidWqYp5WiZIShR+m1VYdvqnCI8S4BkuKIcFsToLc6rTDZ5zOZ7KspZrXrAZIeAFHlJasmVlMZsANhgppZVFVctBOLT3pT3371cqmmJukGXeHkuh0ULFcZPKAgCSbOxnsxuXCAOPeXs8haRo7r/sjTsfQlVtXHHFFQiH2bAdxtDAjVbe2daH+iaD7wCvWlmK85indArz3lQDIqJxlGEoJGYKc/vrmE8kEAUglVZUc6vCXJ3+GeFSAChkwiEKAWG4e79sXS6OE088ESeeeCI+//xz/O///i927NiBF198ER9//DG6u7sxadIkHHHEETjxxBMxadIkV89RlYW5bktzTiEuyzJ4k6QJgVcK87SVF8AMkyzzovFw6mdUas77XS3M/SUpzLPDhYopygdLVKIK71eHDBWhmLuwsgCKz9yo5LdUzDWzKPOylJKDDjpooF8Cg+EZ2SvXHnvMixkwBOcec0AZMtTRAUSjzp47EiDo6KXoTQCNNs+5eQJESBq9VEQPfK4Lc4Y3lNKCWFVHVNpvwFAuuQq55fRPdciQVffcEKSUHnNVMVcV5GpBs7LEiy/M7SjmhBDtPDQtAaRB/0SOyxw4DT3mMktlYTAYzlCzzItdNTQBxsTKYmcWhqjGJTrMMQeAYOZKpp5ibtbLFQ5mfeZOyEYmsgbQSsDIgnjKKafg/fffR2dnp6v9VqdiTnUU835WFjPUSXxSMYr5IKWkVpaMlYP3FebMDxbypsnahA+YW1nsYOgxD+o3JAk8kJTzk1lIQy1oR3f2dWmKuUUqC8sxZzAYNlGPvgORyqKH27hEAAgFled2Pv0zP5nF7vTPGj6NrRIbMjQYKMaCWJWFua5iTojSHk2poWKu+s00xXyoxSXaoJSFuRiKoH783hAjNVU1P8Ff14TGidPgq3FvQRJF5aucTtk7OAk8QTJFTSMTtcmfBlYVTk1lYW1IDAbDJtnjsEfwxaWyaFYWGwOG+tLNCAvZKN9gJj3L7fRP11nmxMeGDFU4xVgQq6owb0cz+mgEwWAd9M5jRh95PAjhNGuBEWqWeVEe80FKMVaWdovFK9g0DMGmYQDsXYIcKvhrG9A67ZCi9iFkCvNUyt7BScixshhhOfmTslQWBoPhjKyVxWuPubvjcW5cYv9caiuCAZeKuTpkKEHgpMKuZUOGqoKqugadRAA9qEeK17+8EG4dhVDLCHC8eTa5mmWuq07aGNIzWKGUeq6Y9x/4YEVbp3u7R6XixUmIamVJOVDMAfMhQ3rNn6GWkPbfRFatLKwwZzAY9pBNrly7osgccyHHOum0AVRVzGMOj2ORTJZ5r2OPufIerbLMGYObqlLMjTDKlzZCtbIMucmfFqTT2QlnpcgxT8djIBwHzuVY+sGA0WctFe2FFI/BV9cAjrf/tVTtVVnF3G5hrvy/WWFuf8CQ/vl9RyyFpGB+wOpzeAmYwWAMbswspa7giotL5HgeHMdDlqWMzzxi+7G8vxHAentWlpwktqxirr9p/34fFS+aP9m6XPlUlWJOOzvQjO0IJtt07+/64lO0f/Y+UjHzy0KeFeYexhqWdJ8ZEplsU0KIlgLiJdtWv4TPHrkDnes/cr2PSohKdPMaNj77T2x8bgWSPdaT4/QQNI+5TStLpjA3u/rLZ5o7ZcPmTzUukSnmDAbDHlkri0eFOV9c8ychxDTL3IxgUHmcUytLJOMxd66YK8fgXviYxXwIU1WFeZ3Yi7Hkc9Qmtujev/P9N7DjnVcR7y08U81FTWWpNo+5mvjh84mWOeNtLs64tRzzKotLBHKzzK2tOnp/W9GhYs5zxlYWfphyKTTrMTdo/lStLKwwZzAYNrFSzDt2OfRLq1YWlznmACD43WWZq4V51KGVxUoxN0K1sqQJhxgzPAxZqqowV8/UdeMSAZDMF9wyLlFVzKssx1xVzEuRyALk5JgP4rhEtwhFDhkShGxhbqeByY6VRUtlsVDMWVwig8GwSzYu0Xsri9seJC3L3KFiHgi5VMwzOeZJicDG6AlNLBEIRYhY+8wZg5uqOqJaLQjqkCGrAUOCMHgVc8OhBzaaVtXGT7Fkhbk6+bMaFXPlPafdFuYZxZxSqvUBmG6vNn+aWVksFHOWysJgFI+/1V3W8WCllFYWp6kqKlqWucMhQ6pink7LytVKm+EPPiErjjhVzWvZkKEhT5UV5kT7Lz2yhbnNAUNV1vyZyEQl+ktQmFNKIVexYs4HMoq5y+mfamEOACkbEozmMS+m+ZOlsjAYDId43/yZk6LmesiQ/SzzXHw+AVxm/XNiZyGEIJKxs/S6zTJnivmQpboKc/VMnepXI6qVRbZpZRmMinkxJA2iEntTxTec0nRaOyGqRo+50M9j7jRGkud57QBh6TOPNGgzOcytLPaaP2lVrSIMBqMY1ONw0mlFagSX47V2mcwiupz+SQhBSB0yFHU6/VNZOPscum9q+ULFXGQRiUOKquoesDpT1xRzi0EFTps/SbgetK9T/86cCKWiKWEiC5Az9bMEiSyqv5xwHNp6U5bNpaWms60P9U3lu8SsNn+6tbIAis88mUzZGjKkWlnManir5s+slUX//s5YGkne/AQj6tCbyWAwBjdajjnxRjEnhIByvKKWF6mYpxLOTxaCQQG9vUnEHAYeaIp55lyANDSAdljXAmoDaLdFlnnPlh7d+9i6XPlUldbllZVFbbSruuZPj4cL5UI4DvUT9kbtuIkVUZSXm0BjCxonTkPt6PG691tNTQVyIhNtnDBmrSzGf2uxTvl3tlTMmcecwWDYxHMrC5Az/dN5QdkeS2U95qmE40SxUDCjmOs8zrCnC7mFubP1k3nMhz5VpZj3pEJYRyciGIogqHO/uPs07DZxOmqHDzfdT38rS1RqRojf5fXLrThUj3kpCnMhGMbw/Y8AYDwJ06rj3osM89yivJyqebCxFcHG1qL24WTIkFlcorZN5nhhGZfIPOYMBsMmmqXUI8UcgGfTP/XiEtUhbkYEQ8q6G3NsZXEXmVjLPOZDnqpSzJNURBcakRDrde8X61sRGTEGvpB5MaZZWYZ482dUas773chjPlTwUikfiEFHgqgoN6mUVPBvV7Ctk+ZPS8W8qpYRBoNRBKpiznmpmPP2FXO9/h3VY55ymMoCAEETxdwMNTLRaMgQaajVvT23+ZMNGRqaVO0R1UkR1v/SlqDlmFdX82cprSxSKgkpmXAdd1UsRp+HUtha9JT/nZ1RpPp6EGvfYWmlMkIUzKd/5l5WtRWXSFSPObOyMBgMbyiplaUMqSx96XzRQ23+tJVlntMH1t9jbhelMKeQCIdodZkeqoaqKsxFkkIjdiKU2KF7f6pjOzo//wR97ea2lIocMFTixk+gtFaWjs/ex2eP3IFtq1/yfN9WDISnXI/1/74XXzz3UNFZ5nasLM4GDBk1f2YezApzBoOhQ2JH4dpaGitLdsiQGwSXqSwAEAoqz+10+qfTwlwdMsQTIELUBlDjaOFQi55hlzEYqKrCPMgnsTtZh6boOt37419+hm2rV6Lzq02m++FVZdIrK0sZimovUK0spcgxzw4XKm+GuZ2ivByFOyFEG6zkevqn2vzpUWGeTWUxyjFX4xJZYc6oLvQKToY91CXHU8WcL85jLpp4zK0Iqoq548I8a2VxeqG4RicykTF0qKrCnOr8Vx7EYVyijQKokjDrELdDMVYWq1QRSRsuVH0Z5ipCID/L3PHjBSeKuX0ri8zzuvdzWo55VS0jDAajCDyf/AnkpLK4tbJkPOYuFHPe3wjAecSg2vwpyQRxZzU9awAd4lSVQUm2WBBsT/5UrSwuF4HBSiLubY55bhOOnKOYlytBtVIsLCrqYCW3irmoWVms/4J8ppb2ovnTyMrS1h1DVDJfYmJ95W+SZTAYAwf1OMccQLb504NUFqd9ToGg8linOeaiQOAXgUQK6EsCQQc1tlqYdxOfpjOKrSGkdkQtH8vW5cqnqqQuLcfc6IunKuYGk0FVBG3AUAV5zMtAMlk6j7lqZeFcTv0sdQpKOYp4bchQvBwecztxiRaF+QDHJaZSKVx22WWYMmUKwuEwRo4ciXnz5uGrr77K2+6EE07AmDFjEAgEMGLECJx11lkF2/Rn/fr1+Pa3v42WlhbU1tbilFNOwfbt2/O2aW9vx5lnnona2lrU19fjvPPOQ29vr+fvk8EYSmRTWTxEjUvUSWUxit/NRbWyUFmGnHZW3IdCyvHQqcccyLGzOJ3+aWPI0ECxceNGEEIKfv773/9q26RSKVxzzTWYMGECAoEApk2bhqeeesp0vytXrsSJJ56IESNGIBwOY/r06Vi+fHneNrfeeisOP/xwNDQ0oKGhAbNnz8Ybb7xRkvdZSqqyMCfQr0ZUxTyWMP+C9c8xrwYkSdYKvlIW5uX2mFcSamFetMfcwYAhWx7zCo1LjEajePvtt3HFFVfg7bffxkMPPYS1a9fihBNOyNtu1qxZeOCBB7B27VqsWLEC69evx8knn2y4376+PhxzzDEghOCFF17Aq6++imQyiblz50LOuZp25pln4sMPP8Szzz6LJ554Av/5z3+wYMGCkr1fBmMoUInNn7woalf+nNpZAhmpO5GQIEkyEKyz/Vi96Z92qOUUL3wle8yfe+45bN26VfvZf//9tfsuv/xy/OUvf8Ef//hHfPTRR/jxj3+Mb3/723jnnXcM9/faa69h6tSpWLFiBd577z2ce+65mDdvHp544gltm5UrV+L000/Hiy++iFWrVmH06NE45phjsGXLlpK+V6+paCuLJEm46qqrcM8992Dbtm0YOXIkzjnnHFx++eWupkNaets0K4uFx7zSUlmKbR61sZAkc05W1MxXL8l6zCu3MC/1wCEhc7UgXQaPOW8jx5y3m2M+QIp5XV0dnn322bzbbrnlFhx44IHYtGkTxowZAwBYuHChdv/YsWPxi1/8AieddBJSqRREsdCW9eqrr2Ljxo145513UFurZAnfddddaGhowAsvvIDZs2fj448/xlNPPYU333wTBxxwAADgj3/8I771rW9h6dKlGDlyZKne9oDj9brMqC5KEpdYpJWFEAJB9CGdTDhuAA0EssfDWCyNSMT+8dFtZGJWMa/c42VTUxOGGwxr/Pvf/47//d//xbe+9S0AwE9+8hM899xzuOGGG3DPPffoPuaXv/xl3u8XXXQRnnnmGTz00EM4/vjjAaBAQb/tttuwYsUKPP/885g3b16xb6lsVLRivmTJEixbtgy33HILPv74YyxZsgS//e1v8cc//rG4HRtYWQix5zHXrCxV5DFXoxIFUQDPm39snI40BoDa3SagZrfxEALlmbRZDmuKU3tNsGUEGidOR2TEGFfPJ/rMc8xzcZZjrj8KRI1LrKQc866uLhBCUF9fr3t/e3s7li9fjpkzZ+oW5QCQSCRACIHfnz3oBQIBcByHV155BQCwatUq1NfXa0U5AMyePRscx+H111/37g1VICVblxlVgVzKHPMijsli5vueciiMcBxB0CQy0Sx0IZvMYiB+GAwZqs2ksvRBNLj+P/CccMIJaG1txWGHHYbHHnss775EIoFAIN+2GgwGtfXVLl1dXWhsbDS8PxqNIpVKmW5TiVS0Yv7aa6/hxBNPxHHHHQcAGDduHP7xj3+49gwlZQGf0z0QrtH3MfuGj0V9ayt8EXMFWYtL9FIxjzQAvcZjfwcaLZHFo8bP/gzb7zAAxn5AvaE8A0EpVfNw6yiEW0c5fpw6MtpRKkvm3MqOlQXI6c/IwUvFvLu7O+93v9+fVxjbIR6P47LLLsPpp5+uKd0ql112GW655RZEo1EcfPDBeZc/+3PwwQcjHA7jsssuw3XXXQdKKX7xi19AkiRs3boVALBt2za0trbmPU4QBDQ2NmLbtm2OXvdgw+t1mVFdlMTKUqRiDuRmmTuPTAyFRMRiafdZ5g4Pb2GSBgcZMuHQAx/q4Pw128HNuhyJRHDDDTfg0EMPBcdxWLFiBU466SQ88sgjms3w2GOPxe9//3scccQRmDBhAp5//nk89NBDjgI1HnjgAbz55pv4y1/+YrjNZZddhpEjR2L27Nm291sJVLRiPnPmTDz//PP49NNPAQDvvvsuXnnlFcyZM8fwMYlEAt3d3Xk/KjJ4dKAFff5huo8VIg2oHT0BgQbzcea8i8mfxUYVDjTJEk79ZHiD982f2f/WyzLn1BxzDxTz0aNHo66uTvu5/vrrC7ZZvnw5IpGI9vPyyy9r96VSKZxyyimglGLZsmUFj73kkkvwzjvv4JlnngHP85g3b55h+kJLSwsefPBBPP7444hEIqirq0NnZyf2228/cCwa0vN1mVFduLWy6F3l1K5KmjR/2kVtAHUTmRgKOpj+mYPbIUOEZO0spYxMtLMu96e5uRkXX3wxDjroIHzta1/D4sWL8f3vfx+/+93vtG1uvvlm7Lnnnpg0aRJ8Ph/OP/98nHvuubbX1xdffBHnnnsubr31Vuyzzz662yxevBj33XcfHn744QJ1vtKpaMX8F7/4Bbq7uzFp0iTwPA9JknDttdfizDPPNHzM9ddfj6uvvrqkr0vIFOayTCHLFFx/xTBYB8S6Svoayk0xGeZWyJIEKqXBiYOj6C+Var6zow91ogQ5nUKgvgkd0RQaQvpXKNpiKTQF8+8TMtaMgrhEnc+j1vxpUsPnKuZSv3P4SKOIXZqVRX8xbe9MIJAyv8IS71OOSJs3b85TufVUmRNOOAEHHXSQ9vuoUcrVBbUo/+KLL/DCCy8UqOWAcrBobm7GXnvthcmTJ2P06NH473//i0MOOUT3dR1zzDFYv349du3aBUEQUF9fj+HDh2P8+PEAgOHDh2PHjvwJwul0Gu3t7Ya+yqFCpa7LjMGBqpjrG+RcUmTzJ5Abmei8MA+GlOfvi9pQrnOujucOGXJKHZdEp+xDF/FjN2o/DcrrddkOBx10UF4/UEtLCx555BHE43G0tbVh5MiR+MUvfqGtr2a89NJLmDt3Lm688UZD3/jSpUuxePFiPPfcc5g6daqr1zyQVLT888ADD2D58uW499578fbbb+Ouu+7C0qVLcddddxk+ZtGiRejq6tJ+Nm/erN1HQFGPNoQT23V95lK0B92b1iG6wzxKjc8ZuDLgWeZlmhqqesx9JWj8jO3ais8euQMbn3nQ833rUQn55XrWHDneh8//fS++eP5hV/sUHUz+5Hl1uIXJNjkHTllHFffSylJbW5v3o3cAqKmpwR577KH9BINBrSj/7LPP8Nxzz6GpqcnyudRklUTC+mjY3NyM+vp6vPDCC9ixY4d2KfaQQw5BZ2cn3nrrLW3bF154AbIs5508DEW8XpcZ1YW6qpTEylKMYq56zF1aWQAgFnWnmPe4cGqqPvPcyESxNeR8R2bPYWNdtsOaNWswYsSIgtsDgQBGjRqFdDqNFStW4MQTTzTdz8qVK3HcccdhyZIlhglYv/3tb/HrX/8aTz31VF4P0GCiohXzSy65BL/4xS9w2mmnAQCmTJmCL774Atdffz3OPvts3ceYeaAIZEwgnwK9wIbGowruT7VvQ8eHryE8YixGjRuL9lgKjcHCM0vVygIoPnODHrKKolRTP3tTxZ8YqIksnMtEllJnmJcLkrliQKU0ZEkC12/iptHnUUXzmHsUl0iIUnxTQiCDFLjMrQYMlZpUKoWTTz4Zb7/9Np544glIkqT5uxsbG+Hz+fD666/jzTffxGGHHYaGhgasX78eV1xxBSZMmKCp5Vu2bMHRRx+Nu+++GwceeCAA4I477sDkyZPR0tKCVatW4aKLLsLChQsxceJEAMDkyZPxzW9+E/Pnz8ef//xnpFIpnH/++TjttNOGdCIL4P26zKguSpLK4olinvGYJxIFVyTVPh4jVCtL1GHwQU2mMI+lCCSZwiJXIY/skCG/4TDzgeCuu+6Cz+fDjBkzAAAPPfQQ/va3v+G2227Ttnn99dexZcsWTJ8+HVu2bMFVV10FWZZx6aWXatvccsstePjhh/H8888DUOwrxx9/PC666CJ897vf1dZ6n8+nNXcuWbIEv/rVr3Dvvfdi3Lhx2jaq/XGwUNGKeTQaLfAc8TyflyXshLwGNj1/qXpJ3mLAEMdxWiyYE5/5YKaUHnMpoWaYDy4fmNcQIfu3lVPOVRvBgWKuNn/KlEA2WdT5TM+/pGNXIR56zN2wZcsWPPbYY/jyyy8xffp0jBgxQvt57bXXAAChUAgPPfQQjj76aEycOBHnnXcepk6dipdeekkrFFOpFNauXYtoNDs1b+3atTjppJMwefJkXHPNNfjf//1fLF26NO/5ly9fjkmTJuHoo4/Gt771LRx22GH461//Wr4/wADh9brMqC5kqnx2Kkkxb4+lIGaOP3Y85n3p/D60rGLurDAP+oma0uzYzlLHFSrmlcKvf/1r7L///jjooIPw6KOP4v7778e5556r3R+Px3H55Zdj7733xre//W2MGjUKr7zySl6a1q5du7B+/Xrt97vuugvRaBTXX3993lr/ne98R9tm2bJlSCaTOPnkk/O26b92VzoVrZjPnTsX1157LcaMGYN99tkH77zzDn7/+9/jBz/4gav95RbmemfrxGaOOaCo5ulUesgms0Sl/IVHtbL4SzJcqPIzzPtTCp85IQSc6IOcSkJKJiAEgo4e76b5E1DsLEYLAWeSZa7FJQ5Qjvm4ceMsx2dPmTIFL7zwguP9LF68GIsXLzZ9XGNjI+699157L3YI4fW6zKguNCtLSRRz90JZNpXFRfNnpjCPOrSyEEIQCRB0Ryl64kCdgyW/LmNl6SKVddw8++yzDa+cqRx55JH46KOPTLe56qqrcNVVV2m/33nnnbjzzjtNH7Nx40abr7KyqejC/I9//COuuOIK/L//9/+wY8cOjBw5Ej/60Y/wq1/9yvG+Ejv7IIzKfup1p39qhbl1sS1ohXl1KOalbP4cylM/2zpiaGqwv9qqhbmccn5wyMYlWh8ccl0yacl4IVB95nqpLAM9+ZMxMHi5LjOqj5I0f+bEJe7qiKHZwZqrks0xd7728gHFSuE0LhEAIiGlMM+d/kk7rAW62hzFnAIGY+AYg5GKLsxrampw00034aabbvJojwSUEuUSmomVxU5hzvMCgMTAWlnK1PgJ5FpZvDfUy8mslaXUVrlKaPw0g/f5kY72aicrTnBiZeGIYg2n1F6WuazjetPiEgdIMWcMDN6vy4xqQvOYe2ll4XJKGZeqeXGpLMpjnXrMAaAmyAGQDbPMSUMtaEdhvKhamKcJjxgEhODeX8+oLKpO6jJrPHFqZQGAlJdWlgomES+lYj74rCylgheVv4ErxTxTmMsyhWQWtwLlEqraaGQnmUU/laXyJn8yGIzKJjv500O4nEuANhpAO3SU7WJyzINB5bjY15fZb9B8SGEuWjKLwfRPIwRCESEZOwvYsXMoUdGKeSnI+szdKebZKYuZIUMDHZdYJrS4xBIU5sGWkSC8AF9tQ9Wf89eMnoBAYyt8Nc6vhohC9uucTkmw6gkSeMXGYkcxN7WyGCjm7Z0x+JO87n0qiejQSNRhMBj2KMXkT0IIKCcoRbnLBlDBryrmzhvvVcU8mZSQTssQBPuap5ZlbjMykR8WgrRdaVSv5VPoTYvoJj6MoPauBrN1ufKpusJ8E3ZHOCxCIoVVixCpx4gDZ9mK7ctO/xzkirnNM/tE0lvFPFexaJo4TfvvaFfhgqCX+V0JlKIBtGEP/SlmduB4JS2IUmrLZ640gFLz6Z8mVhbmMWcwGE5RxTFPPeaA4jOX064jEzXF3IXHPBAQNWtgLJZCTU1+DUHC9aB9nbqPrXE4/TOXOi6FrwB05yjmYmsIqR1R4wcxKp6qO6K2owW9gZHK2XU/OH8QdeMmombkOMv9qEOG1ObP/ikmQ41kEVaWdhe+u1JQ6f7yYiGEZJNZHGSZS5LScKQHZ2ZlUXMWmZWF4TH+Vu8n6zIqA00x97ow54qLTMwq5gnLtKf+EEJyklmcHe8iIfdDhuo4Rd3v0hEaGYOXqivMvUJNwPA0LhEoa0OnE0o1+ZNSCikRt9Vwq8dQGS6kIqdTSPZ2IxW1P2I5F+1zaWf6Z8aCYq6YZ3LMdeMSWfMng8FwhlyK5k+g6CxzMedKuRs7i1qYaz5zM3KO8zWqlcWNYq5N/2Qe86FE1VlZIuhGMBlFQii0cNB0Cr1f7QAANOyxh+l+VCtL2oZloCQ4KOCLnfpJKdXiEr3OMafpND579E4AQNPsM0H4qvtI5tG54RPseOdV1IyegFGHfMPx451lmSv/byuVRceuwlkM4mIwGIz+lGTyJ5BtAHVpZeEFARzPQ5akTAOos0mRmmLudPpnRjHvSwCyrKU220IbMsQU8yFF1Snm47AOI3rehSgVerDkRAxfvvIkvnr9ecv9iD7lS2inAFIptkAeKJKJ7ELnC3i7AKiJLITj8zvrqwA973w0rSzSsotkAMChYm6jMNdyzE0UcwaDwbCLlmPuuWKeifKVCgvjXTq9S3qIRUQmuh0yFPITxZ8Ogj6HQr1amLNUlqFF1RXmpqksDuISxYwymUwO/RyReEYt53leK/y8Ine4ECmhV3kg/eVO7DZEUE58JBdxiUCuYp627HtQp3+aBQtxNOsxD7eG8l8rK8wZDIZDSq+YFzH9s4ghQ1ph7rC65jiCcCDfZ27U89OfWl55rgQREEd1CVtDmarzDWQXhUKZkDiZ/CmqivnQL8wTceXLb6fxs83hZTy1MLeThFOJeJ3MwomZwtylYi46sbJkTstdp7JYfE+62qPwxcxPtpIxlh7AYFQTcq5iTj2cWcllp3+6JZvM4rwTU/OYu5j+WRMi6I1R9Dhc9n2EIkTSiFIBXfAjAOv1lK3LlU/VKuaq2penZqo+Wkoti3PRZ78AckykwfqnjKiNn36PbSxA7nChgOf7HoyoirmcUk6G9AZhmJFtSrbjMc8o5kXmmDMYDIZdaKmGxxfZ/AkAokmWeW/K/LgbzhTmMYdWFiCnAdRk+mcu/LDs1Us1mSXXZy72u7rJGFxUbWFuZmUBrFVzUVXMq8DK4kQxd0qulYUBEE0xTzqO7AIAQcxMpLU6YYw06HrMCw4AmmLOCnMGg1E8uYW53pVrAOjY5UKx9cTKoghEqUTc8upvXzrfKhgKq4q580SXGi0y0flJi5rMwnzmQ4eqLcz1/G2EZD1askVh7iT9YrATj6uJLN5/8WVNMWeLCgBwGcUcVAZ1ofyoFis7zZ+CjbhELnPg1EtlIYASI8BgMBg2Ua0sgMc+cy8U8yKaP3l/EwDnOeZAzvRPl0OGAKCLsGPoUKHqPOaan01P7cvJY7ZqAK0qxTzT/Nk/kcXq0p4dfDX1qBk9AcGmYSjVX3JQDRbiBdSP31vxmjs4ZvWmGhARO/KaP63Q4hJNPuq8iZUFYKo5g8FwRr5i7uH6UaTHvD2W0qwsbpo/gyHlsVqOebAOiHXZemxNMUOGMg2g3WCRiUOFqivMt2ME2mkTIEQKPsaEcBg24zAQjgMniKb7cdJkN9jon+aRiJcmwxwAanYbj5rdxgOwH2lVaXjZAEoIwfADjrC1bVsshaZg/udUdOAxV60skkxgdBbAmVhZgJzpnwwGg2ELAkqVgcGVVJgDgKA2f7qKS1QeG42mQCktSBkj4XrQvk7dx9YEi5n+yRTzoUbVFeadUC43NfD6zRENe+4LQBk2YEY2x9xgEXBwtlzpaMOFApX1xR9qUz/t0B5LoTFofNLobMCQncmfqmKu73pjijmDwXAKBQEBLZGVxb1YVpxirghXlALxeBpBk3W6PzUhZX11msoCAPUGWeZiS9D5zhgVQdV5zN3SvxFEtbJUeo65F0ONVMW8FM2fciplK55ysOPkJEJKJpDs7XYVmagV5gafy9zPA6/GJZrlmFsp5qwwZzAYDtEiEw2aP10xwHGJgsDD51MuQ2p2FjNy0tVUxbwvYZ6SpQfLMh96VJ1iHkAUAlLgZR5Aof0gumsraDqN2tG7gReNC9Eh0fwZrLO1mdb8WQLFfNPKxxDv2IndDp8DhFoL7tebjumEQeUvz7Bl1bOIbv8SIw78OurG7eXosaWKS5SNPOaybBhD3Nkeheg3TxlIJVheLoNRbZRkyJDqzSvGyuJ33/wJAOGwiGRSctwAGgoQcEQ5YelLUNQ6ELudZpmzdbnyqTrFfCQ2YSL5CKHkzrzb1QLwq9eexeb//AvxbnMbiuigyW6wo1lZShGXmMnr1tJIGNoJoZvpn86sLMr/61lZ1JxczcpitFQwxZzBYDjEy8JcuxrJeZFjrsYluizMXQ4ZIoQgklHNuw2mf/aPss1FL8ucMXipusKcZt6y4YKQyTKXrVJZfFWUyuKxlSV3aI6cKT45k6sTgwG3yrzeFQE1OlLWGXJhhVeFuYq1Ys4KcwaD4QxKS6GYO7Oy6A1vy1pZ3BXmapZ51I6VpR+qz9xoyFB/cocM1WeyzDtZlvmQoOoKcw0DpY9kCnMr37OWF52WIQ/x4qRUVhZKqaaYsxzzLJyo/C1cKeaqlcVGYc5z1lYWnmZyzA2WCuYxZzAYTpFdKuamAgiXbf50a4EUc6wsbga8hVwq5kA2MrGbJbNUPVVXmFtdQiOZ6WHWkz+z9vy0AzuLF82Y5UbLMXehmLebTE+jUlobUNMRG/oNoHbhfcrfWU45V8wNLVY6/QR2csw5ixxznrB/NwaD4YySKOZexCXmDNFz4zMPZ5JZ3AwZ0iITE26mfyrHCjb9c2hQtYW5UW5zVjE3Vxx5Idv9XOnJLMVAKUUirnzpvVbMtcKTEBC+6vqQDdEU8yJSWZw0f9qJSzRKZeGG+NUiBoPhPepxOOFGHjZCbf6ksuukL54XwGWuOrqxs4Q1K4tzUUWLTHTxJ6nPeMyZYj40qNrC3OgSvF3FnBCSk2U+iJNZLEgl05rrx+vmT63xU/QVDGOoZqKZ8zy5CCuL1x5zlmPOYDC8wq2VxRQuR9wpJjLR7z4yUfWY24pL7Edx0z+zWeZsRR78VJ1MmWtl0fsAq4q5bGNIgSgKSCVTQ1oxj2dsLBzH5V0l8ALC8agZPUE7GfKackclWk0AbeuIoanBOgeLD9ejfvxk+GobHb8GJ82fao65rbhEFznm0fY4BJ/5uX866aFixmAwBgWqlYUj3pWRhONBCVH6x4pJZvEFkOjr01XMe1MNiIgd2u996WaEhV3a70KgGcDarMfcwaDBmqB7xVz1mKcIjxgEhGD8/tm6XPlUXWHeiUYkqR9EbIReidSwx76o2W08Qo3NOvfmozSAxoa0Yp7QGj+9V7V9kVqMOuQbAIBdXdU3xdMIobYRzaOPdPdY0X7zpyMri1EqC1PMGQyGQ0qSYw4oqrmUGjjF3MJjTsL1oH2duvcVo5gLhCJCUuilIrrgNy3MGZVP1VlZelCP7RiFhFive3+ybhQa95qKYK3+/blkrSyV+SXwZOqn1vhp7V3rPx21lDiZpDnY0Yv1MiJ3wJBVqoBqyTS7OCTUZRpRDQtz1vzJYDCcoU7+JB4q5gBMG0Dtij+5WeZOj2mhsHKc7OtL2Ut1yZn+WZvxmCfSBG4uwtdnGkA7mc980FN1hbmXiP3Gn0cla5V9sJGrmHsNla2Lx2qEUgopmUCyt9vx3ycvLciiAVTg7CvmRgOGmGLOYDCcoirmnNeKOe/FkCH3inkwlJlBIVPE485eg99H4Mu8fLtDhvKyzLmsz5wxuKm6wlxAEiH0QpD0z56lvm5Ed21Doq/Xel8O/LyDlbjHw4VyaV/7HtY++Bdse+s/nu97UCPL+OyRO/D5v+91HJmY2wdgZWex0/zJEzZgiMFgeItcirhEwPGQIT2yhbmb5nsefr+ysLprAC3CZ86zZJahQtUV5i3YjsnkfdTFvtC9v2/dO9j0wiNo/2IdAPMcbsvpnzrZ0YMNTTG3YWVxiprKUqrmz4HAi4ZTwvMgGZ+J0yFDHMeBy3R1piwUc83KUqLmTwaDwdBD85iXyspiI7zBCNGnWlncNUCGByiZRVXM2fTPwU/VFeZ2BwzJNnJQxcGsmBucNPS346ge8/5Wlt5U/iU2N6hxgJzovRo/2FGzzOWkiyFDNqd/2mn+1Apzw7hE5jFnVBeJHeVNexqKaKks8Hj90BRzd/1O7bFU1mPuYo4EkB0y1Bd1vnbXFpNlzhTzIQMrzPuTKUCojTNuJZVlaA8YKqWVRcoUnbxBYe52rPJgQ+99qn8Tp4o5kGOxsvhcClpcIoGR8K1aWSSmmDMYDI+QS66YFz/9061i7kWWeXfcxfTPjGLeDZ/XpzuMMlN1cYlQCwzDAUPq5E87inllp7J4QammfgI5irnP7/lCUu4Mc6/hfBnF3KHHHMgpzM2kcAA8n138JRnQMxRZxSWaTf5M7OyDJJofeNOpqOn9DAZj6FGyuERNMS/CypIpzNMuPOZAcVaWYhTzGi4FDjJkwqEXPgD6z8/W5cqHKeb9URVzG1/sQW1lsYlmZSmBYq4Wnbyvei692Y151BRzF5dTtchEixPG3HlRRjW8ukDIOUtFqCWbBGAotTMYDIYBlCrriZcDhpQdFq+Y+zJWlqRrj3nGytLnxsqiKubOn5cjWdWcRSYObqquMI9rZ7HminnMxAag+qtFn1qYD13FXLOylEAxV5s/mce8EM1jbqGY6+Xs5qYFmUV48jnffqMGUPXAKRkp5sxjzmAwHKKuGpWZyuJN82e0mFQWl2M6tCxz1gA6qKm6wlxtOjH0xnL2FXPVY27l5e2PF4N/ykU2lcX74jnUMgLhYbtBCBiPsR+MeGGjCQ8bhfrxk+GvLWyyNUoKUk8YtemfFqkshBCtODdSzHmWysJgMDxGVcxLMvkT8CTHPJ1IuJqzUWBlcZDOVhtW1tneBGDkprWVZc4U80FN1XnMe6UQvqKjwPvrIercLzaOQDgUQLCx1XJfmsc8WXlWFq+K/+zkT28K89wplsP3PwKA/Yls1UT9+MnA+MmuHivYTGUBlMhESbZWzI1TWVhhzmAwnKENGPLayuJQMe+IptAQyq8EVMWcUop0KgnA/NjXl25GWNil/S4EWgB8YpjKQsL1oH2d2RsiDUBvBwAgHCDgiJLz3pugqA0qQ4ZoR4et99PAFPMhQfUV5ukQtqIJDf4Q6nXu9zWNQHPdeFv7ynrMh66VJTv5s3K+6HZ92tWKk8FXAkeQBLVUzA1TWdiAIQaD4ZCSDRjyQDHnBAEcz0OWpMyQoYijx4fCyrGyt9e5lYUQgpoQQVcfRXccqA06e3wdp0YmBhw/N6NyqDori5eoBdBQjUuklJYsLpFS6uoyYbVAKYWUTCAdd34SouaYWw0YArJDhow25SxSWViOOYPBcErJFfMiCnNCiKnP3GqGh1qYx+NpSGbT2wwoZvpnPc+GDA0Fqk4x54mEAKIQJAKg0NssJxOId/aBE0QgZNw4B+RM/hyiqSyplKQVz2485mZTU1O93fj8yX9ACIZRf8TJrl/jUOWrTz9Bz7svIdg8AmO/fqKjx/KivVQWIJvMIsmAnijO51hZ9A6hZlaW5M4oJMH8wCul2dUPBqPakEsVl8gVN2BIRfT7kYj2IRV3Xh0Hgz4QogRW9fWlUFvrrEhWk1ncODzrM4p5lIhIGuiubF2ufKpOMa8Xe7APeRetvR/q3p/YvhEbn/kndrz7X8t9iS6bPwcLaoY5xxHt6oBXuBmcY5fBnmEOAERQToRkNwOGVI+5RY45oFhZALO4xOwCrtcAyrGrHgwGwyFaCINHirlmb/RAMQfyk1n0kq/MIIQgFCpmyJCqmDsfMhTgZASI8t67mGo+aKm6wpxqxYVBXCKxP2DIiZd3MBLP8ZcTAyuDW6oxw9wJRJv8qfydcptmrXDS+6Aq5oYe85x/dj07C2v+ZDAYTtGsLKWKS5TSRU2OLjYyMRIpIss87D7LHAAaMqp5N0tmGbRUfGG+ZcsWfP/730dTUxOCwSCmTJmC1atXu95fblyirrKaiUu0Mzksa2VJG/ulHUQlVRrZRJYSZJhnBuewDHN9OFUxdzNgSHSSyqJ8HwxTWSwUczZgqDrxel1mVBeyx4q5Bld8jjmQW5iXf/pnXUYxd1uYM5/54KeiC/OOjg4ceuihEEURTz75JD766CPccMMNaGgwb74ww0vFXFUmZZk6bvIYDFnm2USW0k39HKqFuVM7TX91R1XM5XTK1mcxF9XKYudKjppjbvTx5XMLc53IRM7ha/Oac845B4SQvJ9vfvObutsmEglMnz4dhBCsWbPGdL9HHXVUwX5//OMfa/e/++67OP300zF69GgEg0FMnjwZN998s5dvrWIpxbrMqC7sKOYdu1yMhecz0YeSiVhmA1+gSMU8M/2z14ViXpNRzJ0MGcrNMlcjEwdSMb/qqqswadIkhMNhNDQ0YPbs2Xj99dfzthk3blzBGrt48WLT/W7btg1nnXUWhg8fjnA4jP322w8rVqzI2+baa6/FzJkzEQqFUF9f7/VbKwsV3fy5ZMkSjB49GnfccYd22+67717UPtWvqmHTiTpgyEbahDpgCFCKICF3xnklY6Di958S6SSRxakPT7Vo8GL1ndW3dcTQ1GCeg0WE7GdLTiXB++3HX6mfQzuKuWCRykKIcnWJEgIJpEAzrwQryze/+c28NcJvcIXn0ksvxciRI/Huu+/a2u/8+fNxzTXXaL+HQtmD31tvvYXW1lbcc889GD16NF577TUsWLAAPM/j/PPPd/lOBgelWJcZ1UVWMff4xF5VzEGBIhKjVMU86aL5EwBCqmLuIjKxNkcxpzSzBvfLMicNtaAd3bqPVxtAuyzy10vJXnvthVtuuQXjx49HLBbDjTfeiGOOOQbr1q1DS0uLtt0111yD+fPna7/X1NSY7nfevHno7OzEY489hubmZtx777045ZRTsHr1asyYMQMAkEwm8b3vfQ+HHHIIbr/99tK8wRJT0YX5Y489hmOPPRbf+9738NJLL2HUqFH4f//v/+X9Q/YnkUggkXP5qbs7/8OrWlmMvrRZxdyODYADx3OQJRmpVBrB4NBSf7NTP70vnmULK0sx/kAv6NgVRUNzyHrDEkE4HoQXQKU0pFTCWWEu2oxLjDRA4BVVyqxPlAdFGgQyIeh/6lkJhbnf78fw4cNNt3nyySfxzDPPYMWKFXjyySdt7TcUChnu9wc/+EHe7+PHj8eqVavw0EMPDfnCvBTrMqO6oKVKZeFzViidBtBdXTE015mLIu2xlDb9s1jF3GjIUOEDskOGIkECkhky1JekiDg8/NbzA59lfsYZZ+T9/vvf/x6333473nvvPRx99NHa7TU1NZZrdy6vvfYali1bhgMPPBAAcPnll+PGG2/EW2+9pRXmV199NQDgzjvvLPJdDBwVXZh//vnnWLZsGS6++GL88pe/xJtvvokLL7wQPp8PZ599tu5jrr/+eu0fJpd0KoZ0MopYOomdcT+I349krA+JKEXcpxQwMTGFdFoCV9sEBGrQ16McPHxp5ezXl8qqmFTsAQA0D2sCjyR6u/sAyEjzOhaGmP4lORotTSQRCdUB3SaXAVP6/+xRqd8XmUgYPqIWoZoQerp78u7qTeWXaL3xQmWgT0dFj8aUxTLN8eBrmyCLfsT6egq2i/cZe/sSFn+3pMHf2wmpRBTJWHEHjUTU+PHqZy6XmJj/9/K3jlK2jUaRBgeflP13Uz+TQOHnkhKK1uE1qKnxobu7N/uZzPxdcj93NYEURjakQeQ0esQQaGcnaOZgImX+/VrjOyCDoC+RAsmo8NG0hD5JAtfejmBmhm7/S8dS2vqgpm7Tv1Dz+/22TwhXrlyJ1tZWNDQ04Otf/zp+85vfoKmpSbt/+/btmD9/Ph555JE81duK5cuX45577sHw4cMxd+5cXHHFFaaP7+rqQmNjo+39D1a8Xpf14JPeNpt7STpV/PrSn8EYT5dO2fs30vu37JNS2EZERCWCVMDY9qe3Bhutq+qaSn21ypXvaA9ifYX2uyifX7DnrqvZFy0g1NgCIRhEb0933hoLZI//KpLQm/d7IAAMHxZAKEjQ3d0HQABiuWucDzTalf+cvdn1ckR9CrwkoaOHasmPtJ8thvYr+tX1WpD70JDuQBDKaxyodVklmUzir3/9K+rq6jBt2rS8+xYvXoxf//rXGDNmDM444wwsXLhQs2LqMXPmTNx///047rjjUF9fjwceeADxeBxHHXWUo9dU8dAKRhRFesghh+TddsEFF9CDDz7Y8DHxeJx2dXVpP2vWrKFQHCzsh/2wnxL+bN68mVJKaSwWo8OHD7f9uEgkUnDblVdeaWuN+Mc//kEfffRR+t5779GHH36YTp48mX7ta1+j6XSaUkqpLMv0m9/8Jv31r39NKaV0w4YNFAB95513TPf7l7/8hT711FP0vffeo/fccw8dNWoU/fa3v224/auvvkoFQaBPP/20rdc9mGHrMvthP4PnZyDWZUopffzxx2k4HKaEEDpy5Ej6xhtv5N1/ww030BdffJG+++67dNmyZbS+vp4uXLjQdJ8dHR30mGOOoQCoIAi0trbWcM294447aF1dne3XW0lUtGI+YsQI7L333nm3TZ48ucDsn0v/M7qxY8cCADZt2oS6urrSvNAhQHd3N0aPHo3NmzejtrZ2oF9ORcL+RvpQStHT04ORI0cCAAKBADZs2IBk0t5lXEppQRynniqzfPly/OhHP9J+f/LJJ3Haaadpv0+ZMgVTp07FhAkTsHLlShx99NH44x//iJ6eHixatMjRe1qwYEHefkeMGIGjjz4a69evx4QJE/K2/eCDD3DiiSfiyiuvxDHHHOPoeQYjbF0uH2zNsYb9jfQZyHX58MMPx6xZs7BmzRrs2rULt956K0455RS8/vrraG1tBQBcfPHF2mOmTp0Kn8+HH/3oR7j++usNVfkrrrgCnZ2deO6559Dc3IxHHnkEp5xyCl5++WVMmTLF1vsaDFR0YX7ooYdi7dq1ebd9+umn2qJuBy7TzFlXV8e+tDaora1lfycL2N+okP7FVSAQQCDgrcfxhBNOwEEHHaT9PmrUqIJtxo8fj+bmZqxbtw5HH300XnjhBaxatapgoT/ggANw5pln4q677rL13Orzrlu3Lq8w/+ijj3D00UdjwYIFuPzyy928rUEHW5fLD1tzrGF/o0IGcl0Oh8PYY489sMcee+Dggw/Gnnvuidtvv91QJDnooIOQTqexceNGTJw4seD+9evX45ZbbsEHH3yAffbZBwAwbdo0vPzyy/jTn/6EP//5z56+r4GkogvzhQsXYubMmbjuuutwyimn4I033sBf//pX/PWvfx3ol8ZgMMpMTU2NZdf+l19+iba2NowYMQIA8Ic//AG/+c1vtPu/+uorHHvssbj//vvzDiZWqPGK6n4B4MMPP8TXv/51nH322bj22msdvJPBDVuXGQyGip11GQBkWc5rAO/PmjVrwHGcpqj3JxpVejvUk3oVnuchD3Bsr+cMrJPGmscff5zuu+++1O/300mTJtG//vWvjh7f1dVFAdCurq4SvcKhAfs7WcP+RpVFT08P/fnPf05XrVpFN2zYQJ977jm633770T333JPG43Hdx+h5zL/88ks6ceJE+vrrr1NKKV23bh295ppr6OrVq+mGDRvoo48+SsePH0+POOII7THvv/8+bWlpod///vfp1q1btZ8dO3aU9D1XCmxdLg/s72QN+xtVFr29vXTRokV01apVdOPGjXT16tX03HPPpX6/n37wwQeUUkpfe+01euONN9I1a9bQ9evX03vuuYe2tLTQefPmafvpvy4nk0m6xx570MMPP5y+/vrrdN26dXTp0qWUEEL/9a9/aY/74osv6DvvvEOvvvpqGolE6DvvvEPfeecd2tPTU94/RBFUfGFeLPF4nF555ZWGB2qGAvs7WcP+RpVFNBqlxxxzDG1paaGiKNKxY8fS+fPn023bthk+Rq8wV2978cUXKaWUbtq0iR5xxBG0sbGR+v1+uscee/z/9u44Jur6j+P46/A88CZ3GHiHFNdltcTQGaaArtkWixVbk/yjP/rDcquZ5yar0dY/9Udb9p8zc/WXUn+x2cY/jTkZClsbiGA4ActZOVkhzJZJdoXAuz/68Y1L1LbfHfe9u+djuw2+3899v5/vm/Hive99v1+subk54Q//e++9t+ANUw8++GCKjja78Lv031Cne6NG7hKPx62xsdHKysrM5/PZqlWr7IUXXki4+XNgYMCqq6stGAxaQUGBVVRU2AcffJDwM/x3LpuZXbx40V588UULhULm9/tt/fr19vnnnyfsf+fOnQtm8/ztuJ3HzAUPIgYAAABy3O0P+QQAAACw6GjMAQAAABegMQcAAABcgMYcAAAAcIGsbswPHz6saDSqgoICVVdXq6+vL91TSpn9+/dr06ZNKiwsVCgU0vbt22/7JyB//PGHYrGYiouLtXz5cu3YsUPj4+MJY65cuaKGhgb5/X6FQiE1Nzdreno6YUxXV5eqqqqUn5+vRx55RC0tLak+vJT48MMP5fF41NTU5CyjRkBqkcvk8r2Qzchp6X4sTKq0traaz+ezI0eO2PDwsL322mtWVFRk4+Pj6Z5aStTX19vRo0dtaGjIBgcH7fnnn7dIJGK//fabM2b37t1WXl5unZ2d1t/fbzU1NbZlyxZn/fT0tFVWVlpdXZ19/fXX1t7ebiUlJfbOO+84Y77//nvz+/325ptv2sjIiB06dMiWLFlix48fX9Tj/X/19fVZNBq19evX2759+5zl1AhIHXKZXL4Xshm5Lmsb882bN1ssFnO+n5mZsbKyMtu/f38aZ7V4JiYmTJJ1d3ebmdn169dt6dKlduzYMWfMhQsXTJL19PSYmVl7e7vl5eUlPAf6k08+sUAgYH/++aeZmb399tv2+OOPJ+zrpZdesvr6+lQfUtJMTk7ao48+ah0dHbZt2zYn/KkRkFrkMrl8N2QzYJaVl7JMTU1pYGBAdXV1zrK8vDzV1dWpp6cnjTNbPL/++qsk6b777pMkDQwM6NatWwk1WbNmjSKRiFOTnp4erVu3TuFw2BlTX1+vGzduaHh42BkzfxtzYzKprrFYTA0NDbcdBzUCUodcJpfvhWwGJG+6J5AK165d08zMTMIvqCSFw2F98803aZrV4pmdnVVTU5O2bt2qyspKSdLVq1fl8/lUVFSUMDYcDuvq1avOmIVqNrfubmNu3LiheDyuZcuWpeKQkqa1tVVnz57VmTNnbltHjYDUIZfJ5bshm4G/ZWVjnutisZiGhob01VdfpXsqrjI6Oqp9+/apo6NDBQUF6Z4OgBxCLt8Z2Qz8IysvZSkpKdGSJUtuu2N7fHxcpaWlaZrV4ti7d6++/PJLnTp1Sg888ICzvLS0VFNTU7p+/XrC+Pk1KS0tXbBmc+vuNiYQCLj+bMPAwIAmJiZUVVUlr9crr9er7u5uffTRR/J6vQqHwzlfIyBVyGVy+U7IZuAfWdmY+3w+bdy4UZ2dnc6y2dlZdXZ2qra2No0zSx0z0969e9XW1qaTJ0/qoYceSli/ceNGLV26NKEm3377ra5cueLUpLa2VufPn9fExIQzpqOjQ4FAQGvXrnXGzN/G3JhMqOszzzyj8+fPa3Bw0Hk9+eSTevnll52vc71GQKqQy+TynZDNwDzpvvs0VVpbWy0/P99aWlpsZGTEXn/9dSsqKkq4YzubvPHGGxYMBq2rq8vGxsac1++//+6M2b17t0UiETt58qT19/dbbW2t1dbWOuvnHjf17LPP2uDgoB0/ftxWrly54OOmmpub7cKFC3b48OGMftzU/Dv/zagRkErkMrn8X5HNyFVZ25ibmR06dMgikYj5fD7bvHmz9fb2pntKKSNpwdfRo0edMfF43Pbs2WMrVqwwv99vjY2NNjY2lrCdy5cv23PPPWfLli2zkpISe+utt+zWrVsJY06dOmUbNmwwn89nq1evTthHpvl3+FMjILXIZXL5vyCbkas8ZmbpOVcPAAAAYE5WXmMOAAAAZBoacwAAAMAFaMwBAAAAF6AxBwAAAFyAxhwAAABwARpzAAAAwAVozAEAAAAXoDHHoujq6pLH45HH49Hly5fTPR0AyHnkMuA+NOZIuldeeUUej0dPP/20sywQCKi6ulrV1dXKz89P3+QAIAeRy0Bm8KZ7AsgNVVVV6u3tTfc0AAD/Qy4D7sMZcyRVNBrVZ599Jknq7u52PiZd6CPTuTM4c+8pLy9XIBBQU1OT4vG4mpqaFAwGFYlE9Omnnybs56efftKuXbtUVlYmn8+n1atX6/3339f09PRiHzIAuBq5DGQOzpgjqZ544gndvHlT165dU2FhodauXStJOnv27B3fMzY2pj179mjVqlWanJzUwYMHdeLECf34448KBoMaHR1VLBbTtm3bVFFRoZ9//lk1NTUaHR1VYWGhKioqNDIyonfffVc//PCDjhw5sliHCwCuRy4DmYMz5kiqtrY2NTQ0SPrnY9Le3l5VVVXd8T1TU1M6ceKELl68qPLycknSpUuXdO7cOY2MjKigoECzs7Pq7u6WJH388ccaHR1VOBzWd999p3PnzumLL76QJLW0tOjSpUspPkoAyBzkMpA5aMyRditWrNDWrVuVl5enSCQiSaqsrFQ0GtXy5csVCoUkSePj45Kkvr4+5/tQKCSPx6Pt27dLksxMp0+fXvyDAIAsQi4D6cGlLEi7QCDgfO31em9b5vF4JP0d7vPN/0h2Pr/fn4ppAkDOIJeB9KAxR9LNBfDNmzdTsv1Nmzapvb1dXq9Xra2tikajkqTJyUm1tbWpsbExJfsFgExFLgOZgUtZkHRr1qyRJPX392vdunWqqalRPB5P2vZjsZjuv/9+/fLLL3rssce0YcMGPfzwwyouLtbOnTuTth8AyBbkMpAZaMyRdLt27dKOHTsUDAY1NDSk06dPa2ZmJmnbX7lypXp7e/Xqq6+quLhYw8PDisfjeuqpp3TgwIGk7QcAsgW5DGQGj/37AjEAAAAAi44z5gAAAIAL0JgDAAAALkBjDgAAALgAjTkAAADgAjTmAAAAgAvQmAMAAAAuQGMOAAAAuACNOQAAAOACNOYAAACAC9CYAwAAAC5AYw4AAAC4AI05AAAA4AJ/AR54eoUdOaZkAAAAAElFTkSuQmCC", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig = plt.figure(figsize=(2*single_size,single_size),layout='constrained')\n", "axs = fig.subplots(1,2,gridspec_kw={\"wspace\":0.3})\n", "plot(model6,which=[1],axs=[axs[0]],ci=False)\n", "plot(model6,which=[2],axs=[axs[1]],ci=False)\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 48, "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Hence, to recover the actual surfaces for both conditions we need to add them together when cond == \"a\"\n", "fig = plt.figure(figsize=(2*single_size,single_size),layout='constrained')\n", "axs = fig.subplots(1,2,gridspec_kw={\"wspace\":0.3})\n", "titles = [\"Cond: a\", \"Cond: b\"]\n", "\n", "# Set up some new data for prediction\n", "time_pred = []\n", "x_pred = []\n", "\n", "xr = [t for t in np.linspace(min(dat[\"x\"]),max(dat[\"x\"]),20)]\n", "tr = np.linspace(0,max(dat[\"time\"]),len(xr))\n", "\n", "for t in tr:\n", " for x in xr:\n", " time_pred.append(t)\n", " x_pred.append(x)\n", "\n", "# Loop over conditions\n", "for ci,c in enumerate([\"a\",\"b\"]):\n", " \n", "\n", " new_dat = pd.DataFrame({\"x\":x_pred,\n", " \"cond\":[c for _ in range(len(x_pred))],\n", " \"time\":time_pred})\n", " \n", " plot_fitted(new_dat,[\"time\",\"x\"],model6,ax=axs[ci],use=[1,2],title=titles[ci],ci=False)\n", " \n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Random effects\n", "As mentioned above we can also include random intercepts, random slopes, and random smooths into any `mssm` model!\n", "\n", "#### Random Intercepts\n", "\n", "To model a random intercept (e.g., per subject or item), simply add an `ri` term:" ] }, { "cell_type": "code", "execution_count": 49, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/Users/joshmac/Documents/repos/mssm/src/mssm/src/python/formula.py:640: UserWarning: 3003 y values (9.32%) are NA.\n", " warnings.warn(f\"{data.shape[0] - data[NAs_flat].shape[0]} {self.lhs.variable} values ({round((data.shape[0] - data[NAs_flat].shape[0]) / data.shape[0] * 100,ndigits=2)}%) are NA.\")\n" ] } ], "source": [ "formula7a = Formula(lhs=lhs(\"y\"), # The dependent variable - here y!\n", " terms=[i(), # The intercept, a\n", " l([\"cond\"]), # For cond='b'\n", " f([\"time\"],by=\"cond\"), # to-way interaction between time and cond; one smooth over time per cond level\n", " f([\"x\"],by=\"cond\"), # to-way interaction between x and cond; one smooth over x per cond level\n", " f([\"time\",\"x\"],by=\"cond\"), # three-way interaction\n", " ri(\"sub\")], # Random intercept for each subject\n", " data=dat)" ] }, { "cell_type": "code", "execution_count": 50, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "f(['time'],by=cond): a; edf: 6.906\n", "f(['time'],by=cond): b; edf: 8.753\n", "f(['x'],by=cond): a; edf: 1.0\n", "f(['x'],by=cond): b; edf: 1.074\n", "f(['time', 'x'],by=cond): a; edf: 1.0\n", "f(['time', 'x'],by=cond): b; edf: 1.0\n", "ri(sub); edf: 18.966\n" ] } ], "source": [ "# Fit the model\n", "model7a = GAMM(formula7a,Gaussian())\n", "model7a.fit(progress_bar=False)\n", "model7a.print_smooth_terms()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "You can extract the estimated random intercepts using the ``get_term_coef`` function, which returns the coefficients (and their identifiers/names) associated with a specific term in the formula (here term 5, corresponding to the random intercept term):" ] }, { "cell_type": "code", "execution_count": 51, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "ri_sub_0: -22.41795450863589\n", "ri_sub_1: 16.58503368875314\n", "ri_sub_2: -21.77295808071503\n", "ri_sub_3: -0.9703295327360588\n", "ri_sub_4: 4.129825866788417\n" ] } ], "source": [ "rand_int,rand_int_names = get_term_coef(model7a,[5])\n", "\n", "for ric,rin in zip(rand_int[:5],rand_int_names[:5]):\n", " print(f\"{rin}: {ric[0]}\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Random Slopes\n", "\n", "Many different random slope combinations are possible - but they are all achieved with the `rs` term. Check the doc-string for the `rs` term for different examples. Below\n", "we estimate a random intercept per subject (achieved with the `ri` term) and also a random slope of time (achieved with the `rs` term) - with a separate variance parameter per condition:" ] }, { "cell_type": "code", "execution_count": 52, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/Users/joshmac/Documents/repos/mssm/src/mssm/src/python/formula.py:640: UserWarning: 3003 y values (9.32%) are NA.\n", " warnings.warn(f\"{data.shape[0] - data[NAs_flat].shape[0]} {self.lhs.variable} values ({round((data.shape[0] - data[NAs_flat].shape[0]) / data.shape[0] * 100,ndigits=2)}%) are NA.\")\n" ] } ], "source": [ "formula7b = Formula(lhs=lhs(\"y\"), # The dependent variable - here y!\n", " terms=[i(), # The intercept, a\n", " l([\"cond\"]), # For cond='b'\n", " f([\"time\"],by=\"cond\"), # to-way interaction between time and cond; one smooth over time per cond level\n", " f([\"x\"],by=\"cond\"), # to-way interaction between x and cond; one smooth over x per cond level\n", " f([\"time\",\"x\"],by=\"cond\"), # three-way interaction\n", " ri(\"sub\"), # Random intercept for each subject\n", " rs([\"time\",\"cond\"],rf=\"sub\")], # Random slope of time for subject - separate ones for each level of cond\n", " data=dat)" ] }, { "cell_type": "code", "execution_count": 53, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "f(['time'],by=cond): a; edf: 6.912\n", "f(['time'],by=cond): b; edf: 8.832\n", "f(['x'],by=cond): a; edf: 1.221\n", "f(['x'],by=cond): b; edf: 1.0\n", "f(['time', 'x'],by=cond): a; edf: 1.0\n", "f(['time', 'x'],by=cond): b; edf: 1.0\n", "ri(sub); edf: 16.826\n", "rs(['time', 'cond'],sub):0; edf: 18.869\n", "rs(['time', 'cond'],sub):1; edf: 18.913\n" ] } ], "source": [ "# Fit the model\n", "model7b = GAMM(formula7b,Gaussian())\n", "model7b.fit(progress_bar=False)\n", "model7b.print_smooth_terms()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The ``get_term_coef`` function can again be used to obtain the estimated random slopes. Note, that the function returns a single array even though separate sets of random slopes were estimated per level of \"cond\": The first 20 (here \"sub\" had 20 levels, i.e., there were 20 subjects) elements in this array will correspond to the random slopes estimated for the first level of \"cond\", the next 20 to the second level, and so on. To check which level of \"cond\" was treated as the \"first level\" you can inspect the codebook again, via ``formula.get_factor_codings()``.\n", "\n", "Since the function also returns the name of each coefficient, you can also inspect those." ] }, { "cell_type": "code", "execution_count": 54, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "time_cond_a_0: -0.013782446781787246\n", "time_cond_a_1: 0.008196035845600032\n", "time_cond_a_2: -0.016399453706801445\n", "time_cond_a_3: 0.001340474262813463\n", "time_cond_a_4: 0.002367963871086467\n" ] } ], "source": [ "rand_slopes,rand_slope_names = get_term_coef(model7b,[6])\n", "\n", "for rsc,rsn in zip(rand_slopes[:5],rand_slope_names[:5]):\n", " print(f\"{rsn}: {rsc[0]}\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Random Smooths\n", "\n", "GAMMs also allow to decompose the mean into a non-linear fixed part and a non-linear random part - e.g., a general smooth trend over time and factor-level-specific non-linear deviations from it. Additive models estimate the latter as **random smooth terms**:" ] }, { "cell_type": "code", "execution_count": 55, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/Users/joshmac/Documents/repos/mssm/src/mssm/src/python/formula.py:640: UserWarning: 3003 y values (9.32%) are NA.\n", " warnings.warn(f\"{data.shape[0] - data[NAs_flat].shape[0]} {self.lhs.variable} values ({round((data.shape[0] - data[NAs_flat].shape[0]) / data.shape[0] * 100,ndigits=2)}%) are NA.\")\n" ] } ], "source": [ "formula7c = Formula(lhs=lhs(\"y\"), # The dependent variable - here y!\n", " terms=[i(), # The intercept, a\n", " l([\"cond\"]), # For cond='b'\n", " f([\"time\"],by=\"cond\"), # to-way interaction between time and cond; one smooth over time per cond level\n", " f([\"x\"],by=\"cond\"), # to-way interaction between x and cond; one smooth over x per cond level\n", " f([\"time\",\"x\"],by=\"cond\"), # three-way interaction\n", " fs([\"time\"],rf=\"sub\")], # Random smooth for each subject\n", " data=dat)" ] }, { "cell_type": "code", "execution_count": 56, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "f(['time'],by=cond): a; edf: 6.892\n", "f(['time'],by=cond): b; edf: 8.635\n", "f(['x'],by=cond): a; edf: 1.218\n", "f(['x'],by=cond): b; edf: 1.001\n", "f(['time', 'x'],by=cond): a; edf: 1.0\n", "f(['time', 'x'],by=cond): b; edf: 1.001\n", "f(['time'],by=sub); edf: 131.86\n" ] } ], "source": [ "# Fit the model\n", "model7c = GAMM(formula7c,Gaussian())\n", "model7c.fit(progress_bar=False)\n", "model7c.print_smooth_terms()" ] }, { "cell_type": "code", "execution_count": 57, "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Subject difference smooths - is there a subject-specific difference from the general trend?\n", "plot(model7c,which=[5],fig_size=(single_size,single_size))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "In the R-package `mgcv` it is common to estimate random smooth terms with separate smoothing penalties for different levels of an additional experimental factor (e.g., cond). In `mssm` this is achieved with the following syntax (see the conversion table above for an alternative syntax involving the ``by_cont`` keyword of `fs`):" ] }, { "cell_type": "code", "execution_count": 58, "metadata": {}, "outputs": [], "source": [ "# First we have to create a factor in our data that separates subjects between different levels (i.e., the interaction of the factor cond and sub):\n", "dat[\"sub_cond\"] = dat[\"cond\"].astype(str) + dat[\"sub\"].astype(str)" ] }, { "cell_type": "code", "execution_count": 59, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/Users/joshmac/Documents/repos/mssm/src/mssm/src/python/formula.py:640: UserWarning: 3003 y values (9.32%) are NA.\n", " warnings.warn(f\"{data.shape[0] - data[NAs_flat].shape[0]} {self.lhs.variable} values ({round((data.shape[0] - data[NAs_flat].shape[0]) / data.shape[0] * 100,ndigits=2)}%) are NA.\")\n" ] } ], "source": [ "# Now we can specify the formula:\n", "formula7d = Formula(lhs=lhs(\"y\"), # The dependent variable - here y!\n", " terms=[i(), # The intercept, a\n", " l([\"cond\"]), # For cond='b'\n", " f([\"time\"],by=\"cond\"), # to-way interaction between time and cond; one smooth over time per cond level\n", " f([\"x\"],by=\"cond\"), # to-way interaction between x and cond; one smooth over x per cond level\n", " f([\"time\",\"x\"],by=\"cond\"), # three-way interaction\n", " fs([\"time\"],rf=\"sub_cond\",by_subgroup=[\"cond\",\"a\"]), # Random smooth for each subject for group a of factor cond\n", " fs([\"time\"],rf=\"sub_cond\",by_subgroup=[\"cond\",\"b\"])], # Random smooth for each subject for group b of factor cond\n", " data=dat)" ] }, { "cell_type": "code", "execution_count": 60, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "f(['time'],by=cond): a; edf: 6.894\n", "f(['time'],by=cond): b; edf: 8.523\n", "f(['x'],by=cond): a; edf: 1.069\n", "f(['x'],by=cond): b; edf: 1.069\n", "f(['time', 'x'],by=cond): a; edf: 1.0\n", "f(['time', 'x'],by=cond): b; edf: 1.0\n", "f(['time'],by=sub_cond): a; edf: 87.001\n", "f(['time'],by=sub_cond): b; edf: 134.415\n" ] } ], "source": [ "# Fit the model\n", "model7d = GAMM(formula7d,Gaussian())\n", "model7d.fit(progress_bar=False)\n", "model7d.print_smooth_terms()" ] }, { "cell_type": "code", "execution_count": 61, "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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"text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Now we get to sets of subject difference smooths - one per level of \"cond\":\n", "plot(model7d,which=[5,6])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Very big random effect models\n", "\n", "`mssm` is particularly well suited to fit big random effect structures. The model below estimates a non-linear random smooth of time for every individual series in the dataframe - each being parameterized with 20 basis functions." ] }, { "cell_type": "code", "execution_count": 62, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "200" ] }, "execution_count": 62, "metadata": {}, "output_type": "execute_result" } ], "source": [ "len(np.unique(dat[\"series\"])) # 200 non-linear curves will be estimated by the random effect." ] }, { "cell_type": "code", "execution_count": 63, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/Users/joshmac/Documents/repos/mssm/src/mssm/src/python/formula.py:640: UserWarning: 3003 y values (9.32%) are NA.\n", " warnings.warn(f\"{data.shape[0] - data[NAs_flat].shape[0]} {self.lhs.variable} values ({round((data.shape[0] - data[NAs_flat].shape[0]) / data.shape[0] * 100,ndigits=2)}%) are NA.\")\n" ] } ], "source": [ "formula9 = Formula(lhs=lhs(\"y\"), # The dependent variable - here y!\n", " terms=[i(), # The intercept, a\n", " l([\"cond\"]), # For cond='b'\n", " f([\"time\"],by=\"cond\"), # to-way interaction between time and cond; one smooth over time per cond level\n", " f([\"x\"],by=\"cond\"), # to-way interaction between x and cond; one smooth over x per cond level\n", " f([\"time\",\"x\"],by=\"cond\"), # three-way interaction\n", " fs([\"time\"],rf=\"series\",nk=20)], # Random non-linear effect of time - one smooth per level of factor series\n", " data=dat)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Note, that we set the ``method`` argument to \"Chol\" in the call to the ``fit`` method below. This is slightly less stable than the default QR approach, but usually not problematically so when we have sufficient data. ``mssm`` by default will issue a warning if it detects that using the Cholesky approach might result in inaccuracies. In that case you really should switch back to ``method='QR'``." ] }, { "cell_type": "code", "execution_count": 64, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "f(['time'],by=cond): a; edf: 5.819\n", "f(['time'],by=cond): b; edf: 8.164\n", "f(['x'],by=cond): a; edf: 1.39\n", "f(['x'],by=cond): b; edf: 1.645\n", "f(['time', 'x'],by=cond): a; edf: 1.0\n", "f(['time', 'x'],by=cond): b; edf: 1.211\n", "f(['time'],by=series); edf: 2414.917\n" ] } ], "source": [ "# Fit the model\n", "model9 = GAMM(formula9,Gaussian())\n", "model9.fit(method=\"Chol\",progress_bar=False)\n", "model9.print_smooth_terms()" ] }, { "cell_type": "code", "execution_count": 65, "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Series difference smooths - is there a series-specific difference from the general trend?\n", "plot(model9,which=[5],fig_size=(single_size,single_size))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "This model finally achieves reasonable model fit - meeting the model assumptions. Note that when modeling multi-level neuro-physiological time-series data in particular it will often be necessary to have trial-level random effect terms to ensure that the assumptions can be met. An \"ar1\" model is sometimes an alternative, and we will look into that in the \"Advanced topics\" section!" ] }, { "cell_type": "code", "execution_count": 66, "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig = plt.figure(figsize=(5*single_size,single_size),layout='constrained')\n", "axs = fig.subplots(1,5,gridspec_kw={\"wspace\":0.1})\n", "plot_val(model9,pred_viz=[\"time\"],axs=axs,resid_type=\"Deviance\")\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Beyond Gaussian Models: Estimating GAMMs and GAMMLSS in `mssm`\n", "\n", "So far we have worked with strictly additive models - this was sufficient to get familiar with the `Formula` syntax. In a strictly additive model, we assume that our response variables $Y_i \\sim N(\\mu_i,\\sigma)$, where $\\mu_i$ is the model prediction for observation $y_i$ (i.e., realization of $Y_i$). A **Generalized** additive model allows to replace the normal distribution with $\\mathcal{E}$ - denoting any member of the exponential family of distributions - so that $Y_i \\sim \\mathcal{E}(\\mu_i,\\phi)$. $\\mu_i$ is usually modelled through a known (link) function $g(\\mu_i) = \\eta_i = \\mathbf{X}\\boldsymbol{\\beta}$ with $\\eta_i$ commonly being referred to as the \"linear predictor\" (since the additive or linear model is specified for $\\eta$).\n", "\n", "`mssm` currently supports Binomial, Gamma, Inverse Gaussian, and Poisson models. To estimate any non-normal GAMM, all that is necessary in `mssm` is to replace the `Gaussian` with any other `Family` supported by `mssm`. All families come with default choices for the link functions. You can consult the documentation for details and specific aspects of all families. The documentation also tells you the format expected of response variable. The `Binomial` family for example assumes that whatever variable is specified as response variable (e.g., \"y\" in the examples here) - holds **observed proportions** (of course this will be just 0s and 1s for binary data). Below we present a few examples involving GAMMs with different families. Afterwards we look at GAMMLSS models.\n", "\n", "### Examples: GAMMs\n", "\n", "#### Binomial GAM\n", "\n", "For the implementation of the `Binomial` family `mssm` assumes that we have collected proportions of success, i.e., the dependent variables specified in the model `Formula` needs to hold **observed proportions and not counts**!\n", "\n", "If we assume that each observation $y_i$ reflects a single independent draw from a binomial, (with $n=1$, and $p_i$ being the probability that the result is 1) then the dependent variable should either hold 1 or 0. If we have multiple independent draws from the binomial per observation (i.e., row in our data-frame), then $n$ will usually differ between observations/rows in our data-frame (i.e., we observe $k_i$ counts of success out of $n_i$ draws - so that $y_i=k_i/n_i$). In that case, the `Binomial()` family accepts a vector for argument `n` (which is simply set to 1 by default, assuming binary data), containing $n_i$ for every observation $y_i$.\n", "\n", "Below we simulate data for a Binomial GAM:" ] }, { "cell_type": "code", "execution_count": 67, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ " y x0 x1 x2 x3 eta\n", "0 1 0.445335 0.492238 0.208683 0.841992 8.397755\n", "1 1 0.906370 0.135036 0.697644 0.082626 -0.176925\n", "2 0 0.920722 0.085968 0.090278 0.139062 -0.462916\n", "3 1 0.694359 0.807680 0.047503 0.428058 2.327197\n", "4 0 0.596953 0.033871 0.027423 0.981860 -1.865798\n", "(array([0, 1]), array([2233, 7767]))\n" ] } ], "source": [ "# Data for Binomial model assumes proportions as DV - for binary this will simply be 0s and 1s.\n", "Binomdat = sim3(10000,2,family=Binomial(),binom_offset=-5)\n", "print(Binomdat.head())\n", "print(np.unique(Binomdat[\"y\"],return_counts=True))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Fitting the model should now feel quite familiar - all we need to do is specify a `Formula` and model. The latter now needs to be set up with the `Binomial` family." ] }, { "cell_type": "code", "execution_count": 68, "metadata": {}, "outputs": [], "source": [ "# Now we can again specify the model.\n", "binom_formula = Formula(lhs(\"y\"),[i(),f([\"x0\"]),f([\"x1\"]),f([\"x2\"]),f([\"x3\"])],data=Binomdat)\n", "\n", "# By default, the Binomial family assumes binary data and uses the logit link.\n", "binom_model = GAMM(binom_formula,Binomial())\n", "binom_model.fit(progress_bar=False)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The `plot` function from `mssmViz` continues to function just like before as well. Importantly, the `plot` function always visualizes effects on the scale of the linear predictor (i.e., here for the log-odds of success). For strictly additive Gaussian models, $\\mu_i = \\eta_i$, but this is no longer the case for Generalized models - so keep that in mind for your interpretation of the visualized effects!" ] }, { "cell_type": "code", "execution_count": 69, "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Let's take a look at predictions on the scale of the log-odds\n", "fig = plt.figure(figsize=(4*single_size,single_size),layout='constrained')\n", "axs = fig.subplots(1,4,gridspec_kw={\"wspace\":0.1})\n", "plot(binom_model,axs=axs)\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "All `GAMM` functions remain applicable for different families. For example, you can still get p-values for the smooth terms of the Binomial model - but the Null distribution is now automatically adjusted to be a $\\chi^2$ distribution, since no scale parameter is estimated for the Binomial model (see Wood, 2017)." ] }, { "cell_type": "code", "execution_count": 70, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "f(['x0']); edf: 4.927 chi^2: 538.056 P(Chi^2 > chi^2) = 0.000e+00 ***\n", "f(['x1']); edf: 4.593 chi^2: 1035.863 P(Chi^2 > chi^2) = 0.000e+00 ***\n", "f(['x2']); edf: 8.695 chi^2: 1326.857 P(Chi^2 > chi^2) = 0.000e+00 ***\n", "f(['x3']); edf: 1.002 chi^2: 2.574 P(Chi^2 > chi^2) = 0.10904\n", "\n", "Note: p < 0.001: ***, p < 0.01: **, p < 0.05: *, p < 0.1: . p-values are approximate!\n" ] } ], "source": [ "binom_model.print_smooth_terms(p_values=True)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Gamma GAM\n", "\n", "Below we simulate data for a Gamma Gam. We assume: $Y_i \\sim \\Gamma(\\mu_i,\\phi)$. The Gamma distribution is usually not expressed in terms of the mean and scale ($\\phi$) parameter\n", "but rather in terms of a shape and rate parameter - called $\\alpha$ and $\\beta$ respectively. Wood (2017) provides $\\alpha = 1/\\phi$. With this we can obtain $\\beta = 1/\\phi/\\mu$ (see the doc-string for the `Gamma` family for details)." ] }, { "cell_type": "code", "execution_count": 71, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ " y x0 x1 x2 x3 eta\n", "0 12.379666 0.636962 0.081324 0.013008 0.048017 3.013629\n", "1 2060.005457 0.269787 0.875228 0.827763 0.656338 7.909459\n", "2 5235.301228 0.040974 0.941706 0.496243 0.011885 9.587705\n", "3 68.708860 0.016528 0.261864 0.435918 0.052403 5.189689\n", "4 366.684112 0.813270 0.012101 0.601795 0.023161 5.339632\n", "0.013611044551897237\n" ] } ], "source": [ "# Data for Gamma model looks just like for Gaussian - except that y cannot hold negative values!\n", "Gammadat = sim3(500,2,family=Gamma(),seed=0)\n", "print(Gammadat.head())\n", "print(min(Gammadat[\"y\"]))" ] }, { "cell_type": "code", "execution_count": 72, "metadata": {}, "outputs": [], "source": [ "# Now we can specify the model.\n", "gamma_formula = Formula(lhs(\"y\"),[i(),f([\"x0\"]),f([\"x1\"]),f([\"x2\"]),f([\"x3\"])],data=Gammadat)\n", "\n", "# By default, the Gamma family assumes that the model predictions match log(\\mu_i), i.e., a log-link is used.\n", "gamma_model = GAMM(gamma_formula,Gamma())\n", "gamma_model.fit(progress_bar=False)" ] }, { "cell_type": "code", "execution_count": 73, "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Remember: by default the effects are plotted on the scale of the linear predictor - here it is the log of the mean\n", "fig = plt.figure(figsize=(4*single_size,single_size),layout='constrained')\n", "axs = fig.subplots(1,4,gridspec_kw={\"wspace\":0.1})\n", "plot(gamma_model,axs=axs)\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Model validation remains just as crucial for GAMMS as it was for AMMS! We can check the model by inspecting standardized (deviance) residuals (see Wood, 2017 for details) - if the model is correctly specified, we can expect those to behave approximately like $N(0,\\phi)$!\n", "So the same plots we looked at for the Gaussian model remain relevant - and can again be visualized using the `plot_val` function from `mssmViz`." ] }, { "cell_type": "code", "execution_count": 74, "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig = plt.figure(figsize=(5*single_size,single_size),layout='constrained')\n", "axs = fig.subplots(1,5,gridspec_kw={\"wspace\":0.1})\n", "plot_val(gamma_model,pred_viz=[\"x2\"],resid_type=\"Deviance\",axs=axs)\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Examples: Generalized Additive Models of Location Scale and Shape\n", "\n", "GAMMs are already more flexible than AMMS and come in handy if we cannot assume that the variance in our RVs $Y_i$ remains constant. However, they are still quite restrictive in that they restrict the variance to change according to a (often relatively simple) function of the mean of and because they assume that the scale parameter and any other distribution parameter are shared between observations (see Rigby & Stasinopoulos, 2005 for a discussion). \n", "\n", "The answer to these problems are Generalized Additive Models of Location, Scale and Shape (GAMMLSS models; Rigby & Stasinopoulos, 2005), in which we model some or even all parameters of the response distributions, not just the mean, as additive combinations of smooth functions and other parametric terms. That is, we assume $Y_i \\sim \\mathcal{E}(\\mu_i,\\phi_i,...,\\tau_i)$ For example, in time-series modeling we might assume that our RVs are $Y_i \\sim N(\\mu_i,\\sigma_i)$ - where both $\\mu_i$ and $\\sigma_i$ change smoothly as a (potentially differently shaped) function of time. Note, that this allows modeling very different patterns of heteroscedasticity - also those that might not easily be captured by modeling the variance as a simple function of the mean.\n", "\n", "`mssm` currently supports Normal models ($\\mu$ and $\\sigma$ can be modelled), Gamma models ($\\mu$ and $\\phi$ can be modeled), and Multinomial models (Probability of $Y_i$ taking one one of $K$ values can be modelled)." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Gaussian GAMMLSS\n", "\n", "Below we simulate data for a Gaussian GAMMLSS model. Both the mean and the standard deviation of $Y_i$ change as a function of variable x0. Setting up a GAMMLSS model in `mssm` is not much more work than setting up a GAM. The main difference is that multiple formulas need to be provided - one per distributional parameter of the family." ] }, { "cell_type": "code", "execution_count": 75, "metadata": {}, "outputs": [], "source": [ "# Simulate 1000 data points\n", "GAUMLSSDat = sim6(1000,seed=20)\n", "\n", "# We need to model the mean: \\mu_i = \\alpha + f(x0)\n", "formula_m = Formula(lhs(\"y\"),\n", " [i(),f([\"x0\"])],\n", " data=GAUMLSSDat)\n", "\n", "# and the standard deviation as well: log(\\sigma_i) = \\alpha + f(x0)\n", "formula_sd = Formula(lhs(\"y\"),\n", " [i(),f([\"x0\"])],\n", " data=GAUMLSSDat)\n", "\n", "# Collect both formulas\n", "formulas = [formula_m,formula_sd]\n", "\n", "# Create Gaussian GAMMLSS family with identity link for mean\n", "# and log link for sigma\n", "family = GAUMLSS([Identity(),LOGb(-0.0001)])\n", "\n", "# Now define the model and fit!\n", "gaumlss_model = GAMMLSS(formulas,family)\n", "gaumlss_model.fit(progress_bar=False)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The `plot` function from the `mssmViz` package also supports GAMMLSS models, and can be used to visualize the estimated effects for individual distribution parameters (e.g., $\\mu$ and $\\phi$):" ] }, { "cell_type": "code", "execution_count": 76, "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Now we can visualize the estimated shape of f(x0) for both the mean and standard deviation parameter\n", "# as well as approximate CIs for both.\n", "fig = plt.figure(figsize=(2*single_size,single_size),layout='constrained')\n", "axs = fig.subplots(1,2,gridspec_kw={\"wspace\":0.1})\n", "plot(gaumlss_model,dist_par=0,axs=[axs[0]])\n", "plot(gaumlss_model,dist_par=1,axs=[axs[1]])\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Also for GAMMLSS models we need to check the validity of the model. The `plot_val` function by default plots standardized residuals for GAMMLSS models - these should be $N(0,1)$ if the model is correct (see `plot_val` doc-string and Rigby & Stasinopoulos, 2005):" ] }, { "cell_type": "code", "execution_count": 77, "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "\n", "fig = plt.figure(figsize=(5*single_size,single_size),layout='constrained')\n", "axs = fig.subplots(1,5,gridspec_kw={\"wspace\":0.1})\n", "\n", "# By default, the plot_val function omits the predicted vs. observed plot for more general models - but for Gaussian and Gamma GAMMLSS it is still useful, so we set `obs=True` to get it.\n", "plot_val(gaumlss_model,pred_viz=[\"x0\"],obs=True,axs=axs)\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The model presented above is rather simple - but `mssm` also readily handles more complex GAMMLSS models. Below we simulate a more complex model involving random smooth terms for 20 simulated subjects and then estimate the model from 5000 observations. This only takes a couple of seconds or so." ] }, { "cell_type": "code", "execution_count": 78, "metadata": {}, "outputs": [], "source": [ "sim_dat = sim12(5000,c=0,seed=0,family=GAUMLSS([Identity(),LOG()]),n_ranef=20)\n", "\n", "# We again need to model the mean: \\mu_i = \\alpha + f(x0) + f(x1) + f_{x4}(x0)\n", "sim_formula_m = Formula(lhs(\"y\"),\n", " [i(),f([\"x0\"]),f([\"x1\"]),fs([\"x0\"],rf=\"x4\")],\n", " data=sim_dat)\n", "\n", "# and the standard deviation as well: log(\\sigma_i) = \\alpha + f(x2) + f(x3)\n", "sim_formula_sd = Formula(lhs(\"y\"),\n", " [i(),f([\"x2\"]),f([\"x3\"])],\n", " data=sim_dat)\n", "\n", "# Now define the model and fit!\n", "gaumlss_model2 = GAMMLSS([sim_formula_m,sim_formula_sd],family)\n", "gaumlss_model2.fit(progress_bar=False)" ] }, { "cell_type": "code", "execution_count": 79, "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig = plt.figure(figsize=(5*single_size,single_size),layout='constrained')\n", "axs = fig.subplots(1,5,gridspec_kw={\"wspace\":0.1})\n", "plot(gaumlss_model2,axs=axs[:3])\n", "plot(gaumlss_model2,axs=axs[3:],dist_par=1)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### GAMMA GAMMLSS\n", "\n", "We now simulate the $Y_i$ with a Gamma distribution - both mean and scale parameter of the Gamma again vary as a function of x0." ] }, { "cell_type": "code", "execution_count": 80, "metadata": {}, "outputs": [], "source": [ "# Simulate 1000 data points\n", "GAMMALSSDat = sim6(1000,family=GAMMALS([LOG(),LOG()]),seed=20)\n", "\n", "# We need to model the mean: \\mu_i = \\alpha + f(x0)\n", "formula_m = Formula(lhs(\"y\"),\n", " [i(),f([\"x0\"])],\n", " data=GAMMALSSDat)\n", "\n", "# and the scale parameter as well: log(\\scale_i) = \\alpha + f(x0)\n", "formula_sd = Formula(lhs(\"y\"),\n", " [i(),f([\"x0\"])],\n", " data=GAMMALSSDat)\n", "\n", "# Collect both formulas\n", "formulas = [formula_m,formula_sd]\n", "\n", "# Create Gamma GAMMLSS family with log link for mean\n", "# and log link for sigma\n", "family = GAMMALS([LOG(),LOGb(-0.01)])\n", "\n", "# Now define the model and fit!\n", "gammalss_model = GAMMLSS(formulas,family)\n", "gammalss_model.fit(progress_bar=False)" ] }, { "cell_type": "code", "execution_count": 81, "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Now we can again visualize the estimated shape of f(x0) for both the mean and scale parameter\n", "# as well as approximate CIs for both.\n", "fig = plt.figure(figsize=(2*single_size,single_size),layout='constrained')\n", "axs = fig.subplots(1,2,gridspec_kw={\"wspace\":0.1})\n", "plot(gammalss_model,dist_par=0,axs=[axs[0]])\n", "plot(gammalss_model,dist_par=1,axs=[axs[1]])\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Multinomial GAMMLSS\n", "\n", "The final GAMMLSS example is for a multinomial model. This Family assumes that each observation $y_i$ corresponds to one of $K$ classes (labeled as 0,...,$K$) and reflects a\n", "realization of an independent RV $Y_i$ with probability mass function defined over the $K$ classes. These K probabilities - that $Y_i$ takes on class 0,...,$K$ - are modeled as additive combinations of smooth functions of covariates and other parametric terms. This model can thus be used to perform multi-label classification!\n", "\n", "Below we simulate for a Multinomial model with 5 classes - with the probability of $Y_i$ taking on any of these classes changing as a function of variable X0." ] }, { "cell_type": "code", "execution_count": 82, "metadata": {}, "outputs": [], "source": [ "# Simulate data\n", "MULNOMDAT = sim5(1000,seed=34)\n", "\n", "# We need to specify K-1 formulas - see the `MULNOMLSS` docstring for details.\n", "formulas = [Formula(lhs(\"y\"),\n", " [i(),f([\"x0\"])],\n", " data=MULNOMDAT) for k in range(4)]\n", "\n", "# Create family - again specifying K-1 pars - here 4!\n", "family = MULNOMLSS(4)\n", "\n", "# Fit the model\n", "model = GAMMLSS(formulas,family)\n", "model.fit(method=\"QR/Chol\",progress_bar=False)" ] }, { "cell_type": "code", "execution_count": 83, "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# The plot function can again be used to visualize the estimated effects on the scale of the linear predictor.\n", "fig = plt.figure(figsize=(4*single_size,single_size),layout='constrained')\n", "axs = fig.subplots(1,4,gridspec_kw={\"wspace\":0.1})\n", "plot(model,dist_par=0,axs=[axs[0]])\n", "plot(model,dist_par=1,axs=[axs[1]])\n", "plot(model,dist_par=2,axs=[axs[2]])\n", "plot(model,dist_par=3,axs=[axs[3]])\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 84, "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Visualizing how the probability of Y_i taking on any of the K=5 values is a bit\n", "# more complicated. However, the code below outlines how to achieve this.\n", "\n", "# First obtain the K-1 model predictions\n", "pred_dat = pd.DataFrame({\"x0\":np.linspace(0,1,30)})\n", "mus = []\n", "for k in range(4):\n", "\n", " eta,_,_ = model.predict([0,1],pred_dat,ci=False,par=k)\n", " mu = family.links[k].fi(eta)\n", " mus.append(mu)\n", "\n", "# These can now be transformed into the K class probabilities (see the MULNOMLSS methods doc-strings for details):\n", "mu_last = np.sum(mus,axis=0) + 1\n", "mus = [mu/mu_last for mu in mus]\n", "mus.append(1/mu_last)\n", "\n", "# Now we can plot the K class probabilities as a function of X0:\n", "for k in range(5):\n", " plt.plot(pred_dat['x0'],mus[k],label=f\"Class: {k}\")\n", "plt.legend()\n", "plt.xlabel(\"x0\",fontweight='bold')\n", "plt.ylabel(\"P(Y = class k)\",fontweight='bold')\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Advanced topics\n", "\n", "In this section we discuss advanced use-cases of `mssm`. We start with an overview of how model selection can be achieved." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Model selection\n", "\n", "`mssm` supports penalty-based model selection (see; Marra & Wood, 2011). In practice, that means the models can penalize entire terms out of the model (they become ~ equal to zero over their covariate(s)). To enable this, provide the ``penalize_null=True`` argument to splines for which this should be enabled.\n", "\n", "**Note:** using this with anova-like smooth interactions can result to weird situations, where the marginals are (partially) penalized away but not the (higher-order) partial interaction effects. This can complicate interpretation.\n", "\n", "This selection method is particularly efficient for large models, involving many (random) terms. We demonstrate this using the example model considered previously, featuring series-specific random smooth terms:" ] }, { "cell_type": "code", "execution_count": 85, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/Users/joshmac/Documents/repos/mssm/src/mssm/src/python/formula.py:640: UserWarning: 3003 y values (9.32%) are NA.\n", " warnings.warn(f\"{data.shape[0] - data[NAs_flat].shape[0]} {self.lhs.variable} values ({round((data.shape[0] - data[NAs_flat].shape[0]) / data.shape[0] * 100,ndigits=2)}%) are NA.\")\n" ] } ], "source": [ "formula10 = Formula(lhs=lhs(\"y\"), # The dependent variable - here y!\n", " terms=[i(), # The intercept, a\n", " l([\"cond\"]), # For cond='b'\n", " f([\"time\"],by=\"cond\"), # two-way interaction between time and cond; one smooth over time per cond level\n", " f([\"x\"],by=\"cond\",penalize_null=True), # two-way interaction between x and cond; one smooth over x per cond level\n", " f([\"time\",\"x\"],by=\"cond\",penalize_null=True), # three-way interaction\n", " fs([\"time\"],rf=\"series\",nk=20)], # Random non-linear effect of time - one smooth per level of factor series\n", " data=dat)" ] }, { "cell_type": "code", "execution_count": 86, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "f(['time'],by=cond): a; edf: 5.819\n", "f(['time'],by=cond): b; edf: 8.164\n", "f(['x'],by=cond): a; edf: 1.489\n", "f(['x'],by=cond): b; edf: 1.581\n", "f(['time', 'x'],by=cond): a; edf: 0.0 *\n", "f(['time', 'x'],by=cond): b; edf: 0.0 *\n", "f(['time'],by=series); edf: 2414.935\n", "\n", "2 terms have been effectively penalized to zero and are marked with a '*'\n" ] } ], "source": [ "# Fit the model\n", "model10 = GAMM(formula10,Gaussian())\n", "model10.fit(method=\"Chol\",progress_bar=False)\n", "model10.print_smooth_terms()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "A non-linear two-way interaction between `time` and `x` is not supported for any level of the factor `cond` (since the edf for the two-way interactions are close to 0).\n", "\n", "This is also supported by confidence intervals for the two-way interaction: The confidence intervals for the partial two-way interaction effects contain zero for every `x` and `time` combination:" ] }, { "cell_type": "code", "execution_count": 87, "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig = plt.figure(figsize=(2*single_size,single_size),layout='constrained')\n", "axs = fig.subplots(1,2,gridspec_kw={\"wspace\":0.3})\n", "plot(model10,which=[4],axs=axs,ci=True)\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "This suggests that we might get away with dropping the partial two-way interactions of `time` and `x` for both levels of factor `cond`. However, we might want to check first how a model involving only two-way interactions performs against this three-way interaction model. This would be a nested comparison, differing only in a single term we want to check for (the partial three-way interaction). For this we can rely on an approximate GLRT or AIC (see Wood 2017), to check whether the reduction in complexity leads to a drastically worse fit.\n", "\n", "**Note, the GLRT should not be combined with penalty-based selection. Hence, model 10 needs to be re-estimated without an extra Kernel penalty.**" ] }, { "cell_type": "code", "execution_count": 88, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/Users/joshmac/Documents/repos/mssm/src/mssm/src/python/formula.py:640: UserWarning: 3003 y values (9.32%) are NA.\n", " warnings.warn(f\"{data.shape[0] - data[NAs_flat].shape[0]} {self.lhs.variable} values ({round((data.shape[0] - data[NAs_flat].shape[0]) / data.shape[0] * 100,ndigits=2)}%) are NA.\")\n" ] } ], "source": [ "formula10 = Formula(lhs=lhs(\"y\"), # The dependent variable - here y!\n", " terms=[i(), # The intercept, a\n", " l([\"cond\"]), # For cond='b'\n", " f([\"time\"],by=\"cond\"), # two-way interaction between time and cond; one smooth over time per cond level\n", " f([\"x\"],by=\"cond\"), # two-way interaction between x and cond; one smooth over x per cond level\n", " f([\"time\",\"x\"],by=\"cond\"), # three-way interaction\n", " fs([\"time\"],rf=\"series\",nk=20)], # Random non-linear effect of time - one smooth per level of factor series\n", " data=dat)\n", "\n", "formula11 = Formula(lhs=lhs(\"y\"), # The dependent variable - here y!\n", " terms=[i(), # The intercept, a\n", " l([\"cond\"]), # For cond='b'\n", " f([\"time\"],by=\"cond\"), # two-way interaction between time and cond; one smooth over time per cond level\n", " f([\"x\"],by=\"cond\"), # two-way interaction between x and cond; one smooth over x per cond level\n", " f([\"time\",\"x\"]), # two-way interaction between x and time\n", " fs([\"time\"],rf=\"series\",nk=20)], # Random non-linear effect of time - one smooth per level of factor series\n", " data=dat)" ] }, { "cell_type": "code", "execution_count": 89, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "f(['time'],by=cond): a; edf: 5.819\n", "f(['time'],by=cond): b; edf: 8.164\n", "f(['x'],by=cond): a; edf: 1.39\n", "f(['x'],by=cond): b; edf: 1.645\n", "f(['time', 'x'],by=cond): a; edf: 1.0\n", "f(['time', 'x'],by=cond): b; edf: 1.211\n", "f(['time'],by=series); edf: 2414.917\n", "f(['time'],by=cond): a; edf: 5.819\n", "f(['time'],by=cond): b; edf: 8.164\n", "f(['x'],by=cond): a; edf: 1.424\n", "f(['x'],by=cond): b; edf: 1.537\n", "f(['time', 'x']); edf: 1.0\n", "f(['time'],by=series); edf: 2414.927\n" ] } ], "source": [ "# Fit the models\n", "model10 = GAMM(formula10,Gaussian())\n", "model10.fit(method=\"Chol\",progress_bar=False)\n", "model10.print_smooth_terms()\n", "\n", "model11 = GAMM(formula11,Gaussian())\n", "model11.fit(method=\"Chol\",progress_bar=False)\n", "model11.print_smooth_terms()" ] }, { "cell_type": "code", "execution_count": 90, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Accepting alternative hypothesis that the two-way interaction between time and x actually differs between cond levels? False\n", "Probability of observing twice the difference in log-likelihood as extreme or more extreme than 0.8714115097827744\n", "under the Null (interaction between time and x does not differ between cond levels): 0.9721959947759609\n", "AIC difference between model 1 and model 2: 8.736002301040571\n" ] } ], "source": [ "CDL_res = compare_CDL(model10,model11,perform_GLRT=True)\n", "print(f\"Accepting alternative hypothesis that the two-way interaction between time and x actually differs between cond levels? {CDL_res['H1'] == 1}\")\n", "print(f\"Probability of observing twice the difference in log-likelihood as extreme or more extreme than {CDL_res['test_stat']}\\nunder the Null (interaction between time and x does not differ between cond levels): {CDL_res['p']}\")\n", "print(f\"AIC difference between model 1 and model 2: {CDL_res['aic_diff']}\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "In this case the GLRT would also suggest that the three-way interaction does not contribute significantly to the model. Similarly, the strongly positive AIC difference indicates that model 1, the one including the three-way interaction, does not provide a much better fit. Hence, model 11 (including only the two-way interactions) is probably just as good a model as model 10. Importantly, the GLRT test and AIC criterion are both biased and not necessarily conservative enough - in particular when setting `correct_V=False` (see Wood, Pya, & Säfken; 2016, Smoothing Parameter and Model Selection for General Smooth Models.).\n", "\n", "In practice, it should always be set to `True` (the default - note, that there are many strategies available to correct for the bias, `mssm` will automatically select an appropriate one based on the specific model passed to the `compare_CDL` function). See the doc-string for ``compare_CDL`` for more details and consult the references therein. However, even with `correct_V=True` it is generally true that:\n", "\n", "**In practice, the test should generally be combined with other evidence (i.e., based on null-penalty information or confidence intervals). p-values close to one's personal alpha level should be considered very carefully.**\n", "\n", "Finally, note that the `compare_CDL` function works with `GAMMLSS` and `GSMM` models as well. Below we show another example demonstrating model selection for a `GAMMLSS` model." ] }, { "cell_type": "code", "execution_count": 91, "metadata": {}, "outputs": [], "source": [ "# Simulate some data - effect of f0 is zero everywhere!\n", "sim_fit_dat = sim3(n=500,scale=2,c=0,family=Gamma(),seed=21)\n", "\n", "# Now fit first model - with f0\n", "sim_fit_formula = Formula(lhs(\"y\"),\n", " [i(),f([\"x0\"]),f([\"x1\"]),f([\"x2\"]),f([\"x3\"])],\n", " data=sim_fit_dat,\n", " print_warn=False)\n", "\n", "sim_fit_formula_sd = Formula(lhs(\"y\"),\n", " [i()],\n", " data=sim_fit_dat,\n", " print_warn=False)\n", "\n", "sim_fit_model = GAMMLSS([sim_fit_formula,copy.deepcopy(sim_fit_formula_sd)],family = GAMMALS([LOG(),LOGb(-0.001)]))\n", "sim_fit_model.fit(progress_bar=False)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now, we know that there is actually no effect of `f([\"x0\"])` in this data. How can we test for this? One option is to start by looking at the estimated effect and confidence intervals:" ] }, { "cell_type": "code", "execution_count": 92, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 92, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig = plt.figure(figsize=(4*single_size,single_size),layout='constrained')\n", "axs = fig.subplots(1,4,gridspec_kw={\"wspace\":0.1})\n", "plot(sim_fit_model,axs=axs)\n", "axs[0].axhline(0)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now, the CI for `f([\"x0\"])` clearly includes zero for every value of the covariate - suggesting that there is no effect of \"x0\". We can also extract a p-value for this via the\n", "`print_smooth_terms` function:" ] }, { "cell_type": "code", "execution_count": 93, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "Distribution parameter: 1\n", "\n", "f(['x0']); edf: 1.906 chi^2: 2.334 P(Chi^2 > chi^2) = 0.49807\n", "f(['x1']); edf: 3.46 chi^2: 643.395 P(Chi^2 > chi^2) = 0.000e+00 ***\n", "f(['x2']); edf: 8.08 chi^2: 1522.206 P(Chi^2 > chi^2) = 0.000e+00 ***\n", "f(['x3']); edf: 1.0 chi^2: 1.549 P(Chi^2 > chi^2) = 0.21331\n", "\n", "Note: p < 0.001: ***, p < 0.01: **, p < 0.05: *, p < 0.1: . p-values are approximate!\n", "\n", "Distribution parameter: 2\n", "\n", "\n", "Note: p < 0.001: ***, p < 0.01: **, p < 0.05: *, p < 0.1: . p-values are approximate!\n" ] } ], "source": [ "sim_fit_model.print_smooth_terms(p_values=True)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "This also suggests that the effect of `f([\"x0\"])` is unlikely to be significantly different from zero at any point of the covariate (p = 0.21331). As an alternative, we can again rely on an approximate GLRT or AIC. For this we first need to fit a nested model again, excluding `f([\"x0\"])`:" ] }, { "cell_type": "code", "execution_count": 94, "metadata": {}, "outputs": [], "source": [ "# Fit a nested model - without f0:\n", "sim_fit_formula2 = Formula(lhs(\"y\"),\n", " [i(),f([\"x1\"]),f([\"x2\"]),f([\"x3\"])],\n", " data=sim_fit_dat,\n", " print_warn=False)\n", "\n", "sim_fit_model2 = GAMMLSS([sim_fit_formula2,copy.deepcopy(sim_fit_formula_sd)],family = GAMMALS([LOG(),LOGb(-0.001)]))\n", "sim_fit_model2.fit(progress_bar=False)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now we can again use the `compare_CDL` function:" ] }, { "cell_type": "code", "execution_count": 95, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Accepting alternative hypothesis that the f(['x0']) term is not zero everywhere? False\n", "Probability of observing twice the difference in log-likelihood as extreme or more extreme than 2.558609006547158\n", "under the Null (the f(['x0']) term is zero everywhere): 0.4757927342909124\n", "AIC difference between model 1 and model 2: 2.635136552788026\n" ] } ], "source": [ "CDL_res = compare_CDL(sim_fit_model,sim_fit_model2,perform_GLRT=True)\n", "print(f\"Accepting alternative hypothesis that the f(['x0']) term is not zero everywhere? {CDL_res['H1'] == 1}\")\n", "print(f\"Probability of observing twice the difference in log-likelihood as extreme or more extreme than {CDL_res['test_stat']}\\nunder the Null (the f(['x0']) term is zero everywhere): {CDL_res['p']}\")\n", "print(f\"AIC difference between model 1 and model 2: {CDL_res['aic_diff']}\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Again, neither the GLRT nor the AIC score of ~ 2.6351 suggest that we need to include `f([\"x0\"])`. Hence, the second model excluding it should be preferred." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Very big random effect models\n", "\n", "`mssm` can approximate the computations involved in determining the smoothness penalty for **trial/series-level** random smooth terms for Gaussian additive models. This can drastically speed up the time it takes to fit the model. Below, we demonstrate this by re-estimating model 9. Note, that the approximate model might differ slightly in terms of edf and fitted effects from the exact model.\n", "\n", "Approximating computations requires specifying a discretization dictionary for each random smooth term for which computations should be approximate. The dictionary must implement **this structure**: `{\"no_disc\":[str],\"excl\":[str],\"split_by\":[str],\"restarts\":int}`:\n", "\n", "- `no_disc` should usually be set to an empty list, and should in general only contain names of\n", "continuous variables included in the formula. Any variable included in this list will not be discretized in advance. This can improve performance if continuous variables are included with less than 10 unique values. However, it also slows down the clustering that is performed as part of the approximation strategy.\n", "\n", "- Similarly, `excl` specifies any continuous variables that should be **excluded** for clustering - this can speed up clustering quite a bit but the resulting model might differ more from the exact one because variables are essentially ignored for the computation. Hence, this should only be set to an non-empty list if you really know what you are doing.\n", "\n", "- `split_by` should generally be set to a list containing all categorical variables present in the formula.\n", "\n", "- `restarts` indicates the number of times to re-produce the clustering (should be set to at least 40). Increasing this number usually leads to better results - but the upfront computation cost is increased." ] }, { "cell_type": "code", "execution_count": 96, "metadata": {}, "outputs": [], "source": [ "# Approximating computations requires specifying a discretization dictionary.\n", "discretize = {\"no_disc\":[],\"excl\":[],\"split_by\":[\"cond\"],\"restarts\":40, \"seed\":20}\n", "\n", "formula12 = Formula(lhs=lhs(\"y\"),\n", " terms=[i(),\n", " l([\"cond\"]),\n", " f([\"time\"],by=\"cond\"),\n", " f([\"x\"],by=\"cond\"),\n", " f([\"time\",\"x\"],by=\"cond\"),\n", " fs([\"time\"],rf=\"series\",nk=20,approx_deriv=discretize)],\n", " data=dat,\n", " print_warn=False,\n", " series_id=\"series\") # When approximating the computations for a random smooth, the series identifier column needs to be specified!" ] }, { "cell_type": "code", "execution_count": 97, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "f(['time'],by=cond): a; edf: 5.824\n", "f(['time'],by=cond): b; edf: 8.164\n", "f(['x'],by=cond): a; edf: 1.389\n", "f(['x'],by=cond): b; edf: 1.645\n", "f(['time', 'x'],by=cond): a; edf: 1.0\n", "f(['time', 'x'],by=cond): b; edf: 1.21\n", "f(['time'],by=series); edf: 2432.283\n" ] } ], "source": [ "# Fit the model\n", "model12 = GAMM(formula12,Gaussian())\n", "model12.fit(method=\"Chol\",progress_bar=False)\n", "model12.print_smooth_terms()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Very big random effect models + MANY observations\n", "\n", "In case a Gaussian model needs to be estimated with a big random effect structure and from more than 3-4 million observations, ``mssm`` can follow the strategy described in \"Generalized additive models for large data sets\" (Wood, Goude, and Shaw; 2015) to only build the products involving the model matrix once and to never accumulate the entire model matrix. This requires that the data-set is separated into multiple smaller .csv files (see the code below for an example split of the sim_dat.csv) - which ``mssm`` will process in parallel to accumulate the products involving the model matrix.\n", "\n", "At every iteration the model predictions need to be obtained which requires the product of a row-block of the model matrix and the current estimate of the coefficient vector. ``mssm`` either needs to re-compute the row-block for each prediction or can rely on caching to read it from a drive. For extremely big models (> 20 million observations) the latter can be substantially faster (depending on the system's hardware). By default caching is disabled. To enable it the ``mssm.src.python.gamm_solvers.SHOULD_CACHE`` variable should be set to True. The ``mssm.src.python.gamm_solvers.CACHE_DIR`` variable determines the relative location (default \"./.db\") of the cache directory. The directory will be deleted after estimation (if running the model fails, the directory might persist - ``mssm`` will require the user to manually delete the directory in that case).\n", "\n", "Below we re-estimate model 10 (with the extra Kernel penalties) using this iterative building strategy. In terms of fit and edf both models should be viertually identical." ] }, { "cell_type": "code", "execution_count": 98, "metadata": {}, "outputs": [], "source": [ "# Note: Categorical variables need to be stored in a way that makes it obvious to pandas that they are not numeric.\n", "# The code below shows how the data for this example were split\n", "\n", "if False:\n", " for cond in np.unique(dat[\"cond\"]):\n", " cond_dat = dat.loc[dat[\"cond\"] == cond,:]\n", " cond_dat.loc[:,\"series\"] = \"series_\" + cond_dat[\"series\"].astype(str)\n", " cond_dat.loc[:,\"sub\"] = \"sub_\" + cond_dat[\"sub\"].astype(str)\n", " \n", " cond_dat.to_csv(f\"./data/GAMM/sim_dat_cond_{cond}.csv\",index=False,header=True)" ] }, { "cell_type": "code", "execution_count": 99, "metadata": {}, "outputs": [], "source": [ "# Now we just collect the paths to the split files and pass those to the formula.\n", "file_paths = [f'https://raw.githubusercontent.com/JoKra1/mssmViz/main/data/GAMM/sim_dat_cond_{cond}.csv' for cond in [\"a\",\"b\"]]" ] }, { "cell_type": "code", "execution_count": 100, "metadata": {}, "outputs": [], "source": [ "import mssm as mssm\n", "\n", "# Disable caching (default)\n", "mssm.src.python.gamm_solvers.SHOULD_CACHE = False\n", "\n", "# Ensure ordering matches the one enforced automatically for model11.\n", "codebook = {'cond':{'a': 0, 'b': 1}}\n", "\n", "formula13 = Formula(lhs=lhs(\"y\"),\n", " terms=[i(),\n", " l([\"cond\"]),\n", " f([\"time\"],by=\"cond\"),\n", " f([\"x\"],by=\"cond\",penalize_null=True),\n", " f([\"time\",\"x\"],by=\"cond\",penalize_null=True),\n", " fs([\"time\"],rf=\"series\",nk=20)],\n", " data=None, # No data frame!\n", " file_paths=file_paths, # Just a list with paths to files.\n", " print_warn=False,\n", " keep_cov=False, # Re-read and encode all data from file at every iteration - further reducing memory footprint, but can slow down if reading takes long\n", " codebook=codebook,\n", " file_loading_nc = 10) # Set number of cores used for building X.TX in parallel!" ] }, { "cell_type": "code", "execution_count": 101, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "f(['time'],by=cond): a; edf: 5.819\n", "f(['time'],by=cond): b; edf: 8.164\n", "f(['x'],by=cond): a; edf: 1.489\n", "f(['x'],by=cond): b; edf: 1.581\n", "f(['time', 'x'],by=cond): a; edf: 0.0 *\n", "f(['time', 'x'],by=cond): b; edf: 0.0 *\n", "f(['time'],by=series); edf: 2414.935\n", "\n", "2 terms have been effectively penalized to zero and are marked with a '*'\n" ] } ], "source": [ "# Fit the model\n", "model13 = GAMM(formula13,Gaussian())\n", "model13.fit(method=\"Chol\",progress_bar=False)\n", "model13.print_smooth_terms()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "You can also combine the iterative model building with the derivative approximation strategy. Note, that this only works with ``keep_cov=True``:" ] }, { "cell_type": "code", "execution_count": 102, "metadata": {}, "outputs": [], "source": [ "discretize = {\"no_disc\":[],\"excl\":[],\"split_by\":[\"cond\"],\"restarts\":40, \"seed\":20}\n", "\n", "formula13d = Formula(lhs=lhs(\"y\"),\n", " terms=[i(),\n", " l([\"cond\"]),\n", " f([\"time\"],by=\"cond\"),\n", " f([\"x\"],by=\"cond\",penalize_null=True),\n", " f([\"time\",\"x\"],by=\"cond\",penalize_null=True),\n", " fs([\"time\"],rf=\"series\",nk=20,approx_deriv=discretize)],\n", " data=None, # Still no data frame!\n", " file_paths=file_paths, # Still just a list with paths to files.\n", " print_warn=False,\n", " keep_cov=True, # Cannot re-read and encode all data from file at every iteration when also relying on the deriv. approx. strategy\n", " codebook=codebook,\n", " file_loading_nc = 10,\n", " series_id=\"series\") # When approximating the computations for a random smooth, the series identifier column needs to be specified!" ] }, { "cell_type": "code", "execution_count": 103, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "f(['time'],by=cond): a; edf: 5.823\n", "f(['time'],by=cond): b; edf: 8.164\n", "f(['x'],by=cond): a; edf: 1.488\n", "f(['x'],by=cond): b; edf: 1.581\n", "f(['time', 'x'],by=cond): a; edf: 0.0 *\n", "f(['time', 'x'],by=cond): b; edf: 0.0 *\n", "f(['time'],by=series); edf: 2431.504\n", "\n", "2 terms have been effectively penalized to zero and are marked with a '*'\n" ] } ], "source": [ "# Fit the model\n", "model13d = GAMM(formula13d,Gaussian())\n", "model13d.fit(method=\"Chol\",progress_bar=False)\n", "model13d.print_smooth_terms()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### ar1 Models of the residuals\n", "\n", "Fitting series-specific random smooth terms will get expensive the more series collected - even using the tricks discussed above. In addition, including this many coefficients is not really justified for Generalized models (see Wood et al., 2015 for a discussion). An alternative is to specify an \"ar1\" model of the residuals - capturing dependencies between residuals based on a first-order auto-regressive model (see Wood et al., 2015 and Wood, 2017 for an introduction).\n", "\n", "Below, we show how to set up an \"ar1\" model in `mssm`. To understand the need for an \"ar1\" model, consider model 7d. This model was already quite complex - including subject-specific random smooth terms, separately per level of factor \"cond\":" ] }, { "cell_type": "code", "execution_count": 104, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "f(['time'],by=cond): a; edf: 6.894\n", "f(['time'],by=cond): b; edf: 8.523\n", "f(['x'],by=cond): a; edf: 1.069\n", "f(['x'],by=cond): b; edf: 1.069\n", "f(['time', 'x'],by=cond): a; edf: 1.0\n", "f(['time', 'x'],by=cond): b; edf: 1.0\n", "f(['time'],by=sub_cond): a; edf: 87.001\n", "f(['time'],by=sub_cond): b; edf: 134.415\n" ] } ], "source": [ "model7d.print_smooth_terms()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Still, the residuals clearly show remaining dependencies that the model does not account for:" ] }, { "cell_type": "code", "execution_count": 105, "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig = plt.figure(figsize=(5*single_size,single_size),layout='constrained')\n", "axs = fig.subplots(1,5,gridspec_kw={\"wspace\":0.1})\n", "plot_val(model7d,resid_type=\"Pearson\",pred_viz=[\"time\"],axs=axs)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now, we can try and use an \"ar1\" model to account for these dependencies. **Note**, that we should set up the \"ar1\" model in such a way, that the model restarts with every collected time-series and does not treat the entire residual series as one long time-series. To achieve this, we need to specify the `series_id` argument, when setting up the formula of the model (see the code examples of the `Formula` class for more details):" ] }, { "cell_type": "code", "execution_count": 106, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/Users/joshmac/Documents/repos/mssm/src/mssm/src/python/formula.py:640: UserWarning: 3003 y values (9.32%) are NA.\n", " warnings.warn(f\"{data.shape[0] - data[NAs_flat].shape[0]} {self.lhs.variable} values ({round((data.shape[0] - data[NAs_flat].shape[0]) / data.shape[0] * 100,ndigits=2)}%) are NA.\")\n" ] } ], "source": [ "# Now we can specify the formula:\n", "formula7d_ar = Formula(lhs=lhs(\"y\"),\n", " terms=[i(),\n", " l([\"cond\"]),\n", " f([\"time\"],by=\"cond\"),\n", " f([\"x\"],by=\"cond\"),\n", " f([\"time\",\"x\"],by=\"cond\"),\n", " fs([\"time\"],rf=\"sub_cond\",by_subgroup=[\"cond\",\"a\"]),\n", " fs([\"time\"],rf=\"sub_cond\",by_subgroup=[\"cond\",\"b\"])],\n", " data=dat,\n", " series_id=\"series\") # Setting series_id to a string instead of None means the 'ar1' model will restart per series!" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now, specifying the model works just as before. The difference, is that we now need to set the `rho` argument of the `model.fit` method. `rho` has to be set to the weight of the auto-regressive parameter. A good starting point is to pick the absolute value of the auto-correlation at lag 1 of model 7d, which is approximately 0.98 here:" ] }, { "cell_type": "code", "execution_count": 107, "metadata": {}, "outputs": [], "source": [ "model7d_ar = GAMM(formula7d_ar,Gaussian())\n", "model7d_ar.fit(rho=0.97,progress_bar=False)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now, we can compare the \"ar1-corrected\" residuals (see Wood, 2017) of this model, to the residuals of the previous model:" ] }, { "cell_type": "code", "execution_count": 108, "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig = plt.figure(figsize=(5*single_size,single_size),layout='constrained')\n", "axs = fig.subplots(1,5,gridspec_kw={\"wspace\":0.1})\n", "plot_val(model7d_ar,resid_type=\"ar1\",pred_viz=[\"time\"],axs=axs) # set resid_type to \"ar1\"!" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The model's still not perfect - but the acf plot, the predicted vs. residuals plot, and the time vs. residuals plot are all far less concerning (note how the \"stringing\" in the last two disappeared almost completely). To improve the model further, we might want to include random intercepts per series. Additionally, we could try different values for `rho`. We could even select `rho` formally - by picking the model with the highest ``reml`` score (e.g., Wood et al., 2015). If you want to set up such a grid-search over different values of `rho`, the `reml` score is available via `model.get_reml()`." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### ar1 Model for Generalized Models\n", "\n", "Like the `bam` function in `mgcv`, the `GAMM` class in `mssm` also allows to include an \"ar1\" model for generalized models - the \"ar1\" model is then applied to the \"working residuals\" of the linearized model (see Wood, 2017). Below we show an example for a Gamma model:" ] }, { "cell_type": "code", "execution_count": 109, "metadata": {}, "outputs": [], "source": [ "# We simulate some data including a random smooth - but then dont include it in the model:\n", "sim_dat = sim11(5000,2,c=0,seed=20,family=Gamma(),n_ranef=20,binom_offset = 0)\n", "\n", "sim_dat = sim_dat.sort_values(['x4'], ascending=[True])\n", "\n", "sim_formula = Formula(lhs(\"y\"),\n", " [i(),f([\"x0\"]),f([\"x1\"]),f([\"x2\"]),f([\"x3\"])],\n", " data=sim_dat,\n", " series_id=\"x4\") # Can already specify this.\n", "\n", "gamma_model2 = GAMM(sim_formula,Gamma())\n", "gamma_model2.fit(progress_bar=False)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Both the plot of the deviance residuals and the plot of the pearson residuals shows some auto-correlation. Let's try and improve this by including an \"ar1\" model:" ] }, { "cell_type": "code", "execution_count": 110, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(-0.2, 1.0)" ] }, "execution_count": 110, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig = plt.figure(figsize=(5*single_size,single_size),layout='constrained')\n", "axs = fig.subplots(1,5,gridspec_kw={\"wspace\":0.1})\n", "plot_val(gamma_model2,pred_viz=[\"x0\"],resid_type=\"Pearson\",axs=axs)\n", "axs[-1].set_ylim([-0.2,1])" ] }, { "cell_type": "code", "execution_count": 111, "metadata": {}, "outputs": [], "source": [ "gamma_model2.fit(rho=0.25,restart=True,progress_bar=False)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The model slightly improves when including an \"ar1\" model:" ] }, { "cell_type": "code", "execution_count": 112, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(-0.2, 1.0)" ] }, "execution_count": 112, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig = plt.figure(figsize=(5*single_size,single_size),layout='constrained')\n", "axs = fig.subplots(1,5,gridspec_kw={\"wspace\":0.1})\n", "plot_val(gamma_model2,pred_viz=[\"x0\"],resid_type=\"ar1\",axs=axs)\n", "axs[-1].set_ylim([-0.2,1])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We could try and include random intercepts per level of \"x4\" to further improve the model." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Posterior Simulation & Whole-interval CIs\n", "\n", "In the section on model selection we briefly dicussed CIs, and pointed out that they offer an additional tool to check whether a function should be included in the model or not. Importantly, the CIs visualized so far are point-wise CIs, but to determine whether a function should be included in the model at all, whole-function CIs are more appropriate. Point-wise CIs include the true function on average at 95% of the values evaluated - but that rate might be higher or lower for some combination of predictor values over which the interval is evaluated (i.e., the coverage is truly achieved \"on average\"; see Wood, 2017). Whole-function CIs on the other hand are modified to encapsulate the true function at every evaluated predictor combination with a certain probability (see Wood, 2017 but also Simpson, 2016 for more details) - i.e., they ensure that the entire true function falls within the CI boundaries with 95% certainty.\n", "\n", "The difference can be visualized best by simulating from the conditional posterior distribution of a GAM(M). Wood (2017) shows that the latter is approximately $\\beta | \\lambda,y \\sim N(\\hat{\\beta},\\mathbf{V})$. Where $\\mathbf{V}$ is the inverse of the ngeative Hessian of the penalized likelihood. By defining model-matrix $\\hat{\\mathbf{X}}$ to only contain non-zero entries in the columns related to some function of interest $f$, we can use this result to simulate replications of $f$.\n", "\n", "Below we sample from the posterior of `f[\"time\"]` for level \"a\" of factor \"cond\" from model 10:" ] }, { "cell_type": "code", "execution_count": 113, "metadata": {}, "outputs": [], "source": [ "# Set up some new data for prediction\n", "tr = np.linspace(0,4000,30)\n", "\n", "pred_dat = pd.DataFrame({\"time\":tr,\n", " \"x\":[-1 for _ in range(len(tr))],\n", " \"cond\":[\"a\" for _ in range(len(tr))],\n", " \"series\":[0 for _ in range(len(tr))]})\n", "\n", "_,pred_mat,_ = model10.predict([2],pred_dat)" ] }, { "cell_type": "code", "execution_count": 114, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "array([ 2, 3, 4, 5, 6, 7, 8, 9, 10])" ] }, "execution_count": 114, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# `use_post` identifies only coefficients related to f(time) - and only for condition a\n", "use_post = pred_mat.sum(axis=0) != 0\n", "use_post = np.arange(0,pred_mat.shape[1])[use_post]\n", "use_post" ] }, { "cell_type": "code", "execution_count": 115, "metadata": {}, "outputs": [], "source": [ "# Now we can sample new realizations of f(time) from the conditional posterior\n", "# By default all plotting functions will draw 10.000 samples from the posterior so we specify this for the manual sampling below.\n", "post = model10.sample_post(10000,use_post,seed=2000)\n", "post_f = pred_mat[:,use_post] @ post" ] }, { "cell_type": "code", "execution_count": 116, "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# And plot the replications against a point-wise and a whole-function CI\n", "fig = plt.figure(figsize=(2*single_size,single_size),layout='constrained')\n", "axs = fig.subplots(1,2,gridspec_kw={\"wspace\":0.1})\n", "\n", "for sim in range(100):\n", " axs[0].plot(pred_dat[\"time\"],post_f[:,sim],alpha=0.3)\n", "\n", "plot_fitted(pred_dat,[\"time\"],model10,[2],ax=axs[0],plot_exist=False,col=0.1)\n", "\n", "for sim in range(100):\n", " axs[1].plot(pred_dat[\"time\"],post_f[:,sim],alpha=0.3)\n", "\n", "# This time, we set the whole-interval argument to `True`.\n", "plot_fitted(pred_dat,[\"time\"],model10,[2],ax=axs[1],whole_interval=True,plot_exist=False,col=0.1)\n", "\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Evidently, while the point-wise CI covers the simulated replications consistently over some time values, there are quite a few curves that do not fall within the CI boundaries *when considering the entire time range*. For the whole-function CI most replicate functions are *completely* encapsulated.\n", "\n", "To clarify, the point-wise CI is **not** performing poorly here! In fact, the check below confirms that - *on average over time* - it contains simulated replicates in 95% across simulations. However, only in around 75% of simulations does it contain the function over the whole time range - but it was simply not designed to achieve this!" ] }, { "cell_type": "code", "execution_count": 117, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "0.95057\n", "0.7417\n" ] } ], "source": [ "# Get the boundaries shown in the left plot and check them against each replicate function\n", "# drawn from the posterior.\n", "pred,pred_mat,b = model10.predict([2],pred_dat,whole_interval=False,seed=2000,ci=True)\n", "\n", "avg = []\n", "full_cov = 0\n", "for pi in range(post_f.shape[1]):\n", " IN_CI = ((pred + b) > post_f[:,pi]) & ((pred - b) < post_f[:,pi])\n", " if not False in np.unique(IN_CI):\n", " full_cov += 1\n", "\n", " avg.append(len(pred[IN_CI])/len(pred))\n", "\n", "full_cov/=post_f.shape[1]\n", "print(np.mean(avg))\n", "print(full_cov)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We can now run the same check for the whole-function CI. Note that for the check a different seed is used (otherwise coverage would be exactly 95%). Nevertheless, the whole-function CI covers the entire replicate in approximately 95% of simulations. In terms of average coverage it over-performs (naturally) - achieving a point-wise coverage of almost 99%. This is only logical, considering that the interval is simply expanded - relative to the point-wise CI (see Wood et al., 2016)." ] }, { "cell_type": "code", "execution_count": 118, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "0.9933\n", "0.9533\n" ] } ], "source": [ "# Get the boundaries shown in the right plot and check them against each replicate function\n", "# drawn from the posterior.\n", "pred,pred_mat,b = model10.predict([2],pred_dat,whole_interval=True,seed=1500,ci=True)\n", "\n", "avg = []\n", "full_cov = 0\n", "for pi in range(post_f.shape[1]):\n", " IN_CI = ((pred + b) > post_f[:,pi]) & ((pred - b) < post_f[:,pi])\n", " if not False in np.unique(IN_CI):\n", " full_cov += 1\n", "\n", " avg.append(len(pred[IN_CI])/len(pred))\n", "\n", "full_cov/=post_f.shape[1]\n", "print(np.mean(avg))\n", "print(full_cov)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "This quick comparison highlights, that if you want to check whether a smooth has *any* effect, i.e., whether it should be included in the model, whole-function CIs are much more appropriate, simply because they test this more explicitly. That is: if the whole-function CI for a smooth contains zero at every evaluated predictor combination, it is probably safe to assume that the effect can be dropped from the model." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Posterior Simulation & Whole-interval CIs for GAMMLSS and GSMM models\n", "\n", "The api to sample from the posterior of a GAMMLSS or GSMM model is very similar - the only difference is that `model.sample_post` works for a specified parameter of the log-likelihood/response variables. This is illustrated below. We consider the complex GAMMLSS example we introduced above:" ] }, { "cell_type": "code", "execution_count": 119, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "Distribution parameter: 1\n", "\n", "f(['x0']); edf: 4.146\n", "f(['x1']); edf: 5.709\n", "f(['x0'],by=x4); edf: 110.674\n", "\n", "Distribution parameter: 2\n", "\n", "f(['x2']); edf: 7.339\n", "f(['x3']); edf: 1.001\n" ] } ], "source": [ "gaumlss_model2.print_smooth_terms()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "In this model, two parameters of the log-likelihood (the mean and scale parameter) were specified as additive models - both of which involve smooth functions. Now let's say we want to sample the posterior of `f([\"x0\"])` included in the model of the mean. To achieve this, we largely proceed as we did for the GAMM model. We start with setting up new data." ] }, { "cell_type": "code", "execution_count": 120, "metadata": {}, "outputs": [], "source": [ "# Set up some new data for prediction\n", "pred_dat = pd.DataFrame({\"x0\":np.linspace(0,1,30),\n", " \"x1\":np.linspace(0,1,30),\n", " \"x4\":[gaumlss_model2.formulas[0].coding_factors[\"x4\"][0] for _ in range(30)]})\n", "\n", "_,pred_mat,_ = gaumlss_model2.predict([1],pred_dat,par=0)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Note, that we only had to include values in `pred_dat` for variables associated with the first formula. Now we can again figure out for which coefficients we want to sample the posterior:" ] }, { "cell_type": "code", "execution_count": 121, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "array([1, 2, 3, 4, 5, 6, 7, 8, 9])" ] }, "execution_count": 121, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# `use_post` identifies only coefficients related to f(x0)\n", "use_post = pred_mat.sum(axis=0) != 0\n", "use_post = np.arange(0,pred_mat.shape[1])[use_post]\n", "use_post" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now we are ready to sample the posterior:" ] }, { "cell_type": "code", "execution_count": 122, "metadata": {}, "outputs": [], "source": [ "# Now we can sample new realizations of f(x0) from the conditional posterior\n", "# By default all plotting functions will draw 10.000 samples from the posterior so we specify this for the manual sampling below.\n", "post = gaumlss_model2.sample_post(10000,use_post,seed=2000)\n", "post_f = pred_mat[:,use_post] @ post" ] }, { "cell_type": "code", "execution_count": 123, "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# And plot the replications against a point-wise and a whole-function CI\n", "fig = plt.figure(figsize=(2*single_size,single_size),layout='constrained')\n", "axs = fig.subplots(1,2,gridspec_kw={\"wspace\":0.1})\n", "\n", "for sim in range(100):\n", " axs[0].plot(pred_dat[\"x1\"],post_f[:,sim],alpha=0.3)\n", "\n", "plot(gaumlss_model2,which=[1],axs=[axs[0]],prov_cols=0.1)\n", "\n", "for sim in range(100):\n", " axs[1].plot(pred_dat[\"x1\"],post_f[:,sim],alpha=0.3)\n", "\n", "# This time, we set the whole-interval argument to `True`.\n", "plot(gaumlss_model2,which=[1],axs=[axs[1]],whole_interval=True,prov_cols=0.1)\n", "\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "All in all, this was not that different from sampling the posterior for a GAMM, right? Right! Now, let's look at sampling the posterior of `f[\"x2\"]` in the model of the scale paramter. The steps are the same, the important thing is that we set `par=1` when calling `gaumlss_model2.predict`. We still set `use_terms=[1]` since we want the second term (first smooth term) in the formula/model of the scale parameter:" ] }, { "cell_type": "code", "execution_count": 124, "metadata": {}, "outputs": [], "source": [ "# Set up some new data for prediction - this time for scale parameter\n", "pred_dat = pd.DataFrame({\"x2\":np.linspace(0,1,30),\n", " \"x3\":np.linspace(0,1,30)})\n", "\n", "_,pred_mat,_ = gaumlss_model2.predict([1],pred_dat,par=1)" ] }, { "cell_type": "code", "execution_count": 125, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "array([1, 2, 3, 4, 5, 6, 7, 8, 9])" ] }, "execution_count": 125, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# `use_post` identifies only coefficients related to f(x2) in the model of the scale parameter\n", "use_post = pred_mat.sum(axis=0) != 0\n", "use_post = np.arange(0,pred_mat.shape[1])[use_post]\n", "use_post" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now, the step to figure out which coefficients we need might be a bit confusing - after all the indices are the same we got when sampling from the model of the mean. However, this is intended - as clarified by looking what it says under `use_post` in the doc string of the `.sample_post` function:" ] }, { "cell_type": "code", "execution_count": 126, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Help on method sample_post in module mssm.models:\n", "\n", "sample_post(\n", " n_ps: int,\n", " use_post: list[int] | None = None,\n", " deviations: bool = False,\n", " seed: int | None = None,\n", " par: int = 0\n", ") -> numpy.ndarray method of mssm.models.GAMMLSS instance\n", " Obtain ``n_ps`` samples from posterior :math:`[\\boldsymbol{\\beta}_m - \\hat{\\boldsymbol{\\beta}}_m] | \\mathbf{y},\\boldsymbol{\\lambda} \\sim N(0,\\mathbf{V})`,\n", " where :math:`\\mathbf{V}=[-\\mathbf{H} + \\mathbf{S}_{\\lambda}]^{-1}` (see Wood et al., 2016; Wood 2017, section 6.10), :math:`\\boldsymbol{\\beta}_m` is the set of\n", " coefficients in the model of parameter :math:`m` of the distribution (see argument ``par``), and :math:`\\mathbf{H}` is the hessian of\n", " the log-likelihood (Wood et al., 2016;). To obtain samples for :math:`\\boldsymbol{\\beta}`, set ``deviations`` to false.\n", "\n", " see :func:`sample_MVN` for more details.\n", "\n", " Examples::\n", "\n", " from mssm.models import *\n", " from mssmViz.sim import *\n", " from mssmViz.plot import *\n", " import matplotlib.pyplot as plt\n", "\n", " # Simulate 500 data points\n", " GAUMLSSDat = sim6(500,seed=20)\n", "\n", " # We need to model the mean: \\mu_i = \\alpha + f(x0)\n", " formula_m = Formula(lhs(\"y\"),\n", " [i(),f([\"x0\"],nk=10)],\n", " data=GAUMLSSDat)\n", "\n", " # and the standard deviation as well: log(\\sigma_i) = \\alpha + f(x0)\n", " formula_sd = Formula(lhs(\"y\"),\n", " [i(),f([\"x0\"],nk=10)],\n", " data=GAUMLSSDat)\n", "\n", " # Collect both formulas\n", " formulas = [formula_m,formula_sd]\n", "\n", " # Create Gaussian GAMMLSS family with identity link for mean\n", " # and log link for sigma\n", " family = GAUMLSS([Identity(),LOG()])\n", "\n", " # Now fit\n", " model = GAMMLSS(formulas,family)\n", " model.fit()\n", "\n", " new_dat = pd.DataFrame({\"x0\":np.linspace(0,1,30)})\n", "\n", " # Now obtain the estimate for `f([\"x0\"],nk=10)` and the model matrix corresponding to it!\n", " # Note, that we set `use_terms = [1]` - so all columns in X_f not belonging to `f([\"x0\"],nk=10)`\n", " # (e.g., the first one, belonging to the offset) are zeroed.\n", " mu_f,X_f,_ = model.predict([1],new_dat,ci=True)\n", "\n", " # Now we can sample from the posterior of `f([\"x0\"],nk=10)` in the model of the mean:\n", " post = model.sample_post(10000,None,deviations=False,seed=0,par=0)\n", "\n", " # Since we set deviations to false post has coefficient samples and can simply be post-multiplied to\n", " # get samples of `f([\"x0\"],nk=10)`\n", " post_f = X_f @ post\n", "\n", " # Plot the estimated effect and 50 posterior samples\n", " plt.plot(new_dat[\"x0\"],mu_f,color=\"black\",linewidth=2)\n", "\n", " for sidx in range(50):\n", " plt.plot(new_dat[\"x0\"],post_f[:,sidx],alpha=0.2)\n", "\n", " plt.show()\n", "\n", " # In this case, we are not interested in the offset, so we can omit it during the sampling step (i.e., to not sample coefficients\n", " # for it):\n", "\n", " # `use_post` identifies only coefficients related to `f([\"x0\"],nk=10)`\n", " use_post = X_f.sum(axis=0) != 0\n", " use_post = np.arange(0,X_f.shape[1])[use_post]\n", " print(use_post)\n", "\n", " # `use_post` can now be passed to `sample_post`:\n", " post2 = model.sample_post(10000,use_post,deviations=False,seed=0,par=0)\n", "\n", " # Importantly, post2 now has a different shape - which we have to take into account when multiplying.\n", " post_f2 = X_f[:,use_post] @ post2\n", "\n", " plt.plot(new_dat[\"x0\"],mu_f,color=\"black\",linewidth=2)\n", "\n", " for sidx in range(50):\n", " plt.plot(new_dat[\"x0\"],post_f2[:,sidx],alpha=0.2)\n", "\n", " plt.show()\n", "\n", " References:\n", " - Wood, Pya, & Säfken (2016). Smoothing Parameter and Model Selection for General Smooth Models.\n", " - Wood, S. N. (2017). Generalized Additive Models: An Introduction with R, Second Edition (2nd ed.).\n", "\n", " :param n_ps: Number of samples to obtain from posterior.\n", " :type n_ps: int,optional\n", " :param use_post: The indices corresponding to coefficients for which to actually obtain samples. **Note**: an index of 0 indexes the first coefficient in the model of parameter ``par``, that is indices have to correspond to columns in the parameter-specific model matrix. By default all coefficients are sampled.\n", " :type use_post: [int],optional\n", " :param deviations: Whether to return samples of **deviations** from the estimated coefficients (i.e., :math:`\\boldsymbol{\\beta} - \\hat{\\boldsymbol{\\beta}}`) or actual samples of coefficients (i.e., :math:`\\boldsymbol{\\beta}`), defaults to False\n", " :type deviations: bool,optional\n", " :param seed: A seed to use for the sampling, defaults to None\n", " :type seed: int,optional\n", " :param par: The index corresponding to the distribution parameter for which to make the prediction (e.g., 0 = mean)\n", " :type par: int\n", " :returns: An np.ndarray of dimension ``[len(use_post),n_ps]`` containing the posterior samples. Can simply be post-multiplied with model matrix :math:`\\mathbf{X}` to generate posterior **sample curves**.\n", " :rtype: np.ndarray\n", "\n" ] } ], "source": [ "help(gaumlss_model.sample_post)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "So `.sample_post` expects indices with respect to the number of coefficients in the chosen formula/model (i.e., indicated via `par`). Now, the second formula starts with an intercept term, just like the first one. Hence, the first coefficient associated with `f([\"x2\"])` in the model of the scale parameter makes up the second column of the model matrix - corresponding to index 1. Thus, the returned indices are correct and we can proceed with sampling the posterior. Importantly, we again have to specify the `par` parameter and set it to 1:\n", "\n", "**Note**: if you set the same seed when sampling the posterior for different parameters, exactly the same coefficient samples will be generated for all individual parameters - so it will be like sampling the posterior of all parameters simultaneously." ] }, { "cell_type": "code", "execution_count": 127, "metadata": {}, "outputs": [], "source": [ "# Now we can sample new realizations of f(x2) from the conditional posterior\n", "post = gaumlss_model2.sample_post(10000,use_post,seed=2000,par=1)\n", "post_f = pred_mat[:,use_post] @ post" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Finally, we can plot - again taking care to specify `dist_par=1` wherever needed:" ] }, { "cell_type": "code", "execution_count": 128, "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# And plot the replications against a point-wise and a whole-function CI\n", "fig = plt.figure(figsize=(2*single_size,single_size),layout='constrained')\n", "axs = fig.subplots(1,2,gridspec_kw={\"wspace\":0.1})\n", "\n", "for sim in range(100):\n", " axs[0].plot(pred_dat[\"x2\"],post_f[:,sim],alpha=0.3)\n", "\n", "plot(gaumlss_model2,which=[1],axs=[axs[0]],prov_cols=0.1,dist_par=1)\n", "\n", "for sim in range(100):\n", " axs[1].plot(pred_dat[\"x2\"],post_f[:,sim],alpha=0.3)\n", "\n", "# This time, we set the whole-interval argument to `True`.\n", "plot(gaumlss_model2,which=[1],axs=[axs[1]],whole_interval=True,prov_cols=0.1,dist_par=1)\n", "\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### The `GSMM` class in `mssm`\n", "\n", "The `GSMM` class supports the most generic smooth models, as defined by Wood, Pya, and Säfken (2016; see also Krause et al., submitted). Essentially, it allows to estimate any model with a regular likelihood - the parameters of which can be specified as smooth models. An intriguing aspect of the `GSMM` class, is that it can rely on the `L-qEFS` algorithm (Krause et al., submitted) to estimate these models. When relying on the `L-qEFS` algorithm, `mssm` only requires researchers to code up the log-likelihood of the model they want to estimate. In this section we show how this could look like. We work with a simple example - and just imagine for now that we completely forgot how to estimate a Gaussian model of location, scale and shape.\n", "\n", "The first thing we need to do to estimate a `GSMM` is to implement the `GSMMFamily` class. We can again look at the `help` function to get an idea of what that entails:" ] }, { "cell_type": "code", "execution_count": 129, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Help on class GSMMFamily in module mssm.src.python.exp_fam:\n", "\n", "class GSMMFamily(builtins.object)\n", " | GSMMFamily(pars: int, links: list[mssm.src.python.exp_fam.Link], *llkargs) -> None\n", " |\n", " | Base-class for General Smooth \"families\" as discussed by Wood, Pya, & Säfken (2016). For estimation of :class:`mssm.models.GSMM` models via\n", " | ``L-qEFS`` (Krause et al., submitted) it is sufficient to implement :func:`llk`. :func:`gradient` and :func:`hessian` can then simply return ``None``. For exact estimation via\n", " | Newton's method, the latter two functions need to be implemented and have to return the gradient and hessian at the current coefficient estimate\n", " | respectively.\n", " |\n", " | Additional parameters needed for likelihood, gradient, or hessian evaluation can be passed along via the ``llkargs``. They are then made available in ``self.llkargs``.\n", " |\n", " | References:\n", " | - Wood, Pya, & Säfken (2016). Smoothing Parameter and Model Selection for General Smooth Models.\n", " | - Nocedal & Wright (2006). Numerical Optimization. Springer New York.\n", " | - Krause et al. (submitted). The Mixed-Sparse-Smooth-Model Toolbox (MSSM): Efficient Estimation and Selection of Large Multi-Level Statistical Models. https://doi.org/10.48550/arXiv.2506.13132\n", " |\n", " | :param pars: Number of parameters of the likelihood.\n", " | :type pars: int\n", " | :param links: List of Link functions for each parameter of the likelihood, e.g., `links=[Identity(),LOG()]`.\n", " | :type links: [Link]\n", " | :ivar int, optional extra_coef: Number of extra coefficients required by specific family or ``None``. By default set to ``None`` and changed to ``int`` by specific families requiring this.\n", " |\n", " | Methods defined here:\n", " |\n", " | __init__(self, pars: int, links: list[mssm.src.python.exp_fam.Link], *llkargs) -> None\n", " | Initialize self. See help(type(self)) for accurate signature.\n", " |\n", " | get_resid(\n", " | self,\n", " | coef: numpy.ndarray,\n", " | coef_split_idx: list[int],\n", " | ys: list[numpy.ndarray],\n", " | Xs: list[scipy.sparse._csc.csc_array],\n", " | **kwargs\n", " | ) -> numpy.ndarray | None\n", " | Get standardized residuals for a GSMM model.\n", " |\n", " | Any implementation of this function should return a vector that looks like what could be expected from taking independent draws from :math:`N(0,1)`.\n", " | Any additional arguments required by a specific implementation can be passed along via ``kwargs``.\n", " |\n", " | **Note**: Families for which no residuals are available can return None.\n", " |\n", " | References:\n", " | - Wood, Pya, & Säfken (2016). Smoothing Parameter and Model Selection for General Smooth Models.\n", " | - Wood, S. N. (2017). Generalized Additive Models: An Introduction with R, Second Edition (2nd ed.).\n", " |\n", " | :param coef: The current coefficient estimate (as np.array of shape (-1,1) - so it must not be flattened!).\n", " | :type coef: np.ndarray\n", " | :param coef_split_idx: A list used to split (via :func:`np.split`) the ``coef`` into the sub-sets associated with each paramter of the llk.\n", " | :type coef_split_idx: [int]\n", " | :param ys: List containing the vectors of observations (each of shape (-1,1)) passed as ``lhs.variable`` to the formulas. **Note**: by convention ``mssm`` expectes that the actual observed data is passed along via the first formula (so it is stored in ``ys[0]``). If multiple formulas have the same ``lhs.variable`` as this first formula, then ``ys`` contains ``None`` at their indices to save memory.\n", " | :type ys: [np.ndarray or None]\n", " | :param Xs: A list of sparse model matrices per likelihood parameter.\n", " | :type Xs: [scp.sparse.csc_array]\n", " | :return: a vector of shape (-1,1) containing standardized residuals under the current model (**Note**, the first axis will not necessarily match the dimension of any of the response vectors (this will depend on the specific Family's implementation)) or None in case residuals are not readily available.\n", " | :rtype: np.ndarray | None\n", " |\n", " | gradient(\n", " | self,\n", " | coef: numpy.ndarray,\n", " | coef_split_idx: list[int],\n", " | ys: list[numpy.ndarray],\n", " | Xs: list[scipy.sparse._csc.csc_array]\n", " | ) -> numpy.ndarray\n", " | Function to evaluate the gradient of the llk at current coefficient estimate ``coef``.\n", " |\n", " | By default relies on numerical differentiation as implemented in scipy to approximate the Gradient from the implemented log-likelihood function.\n", " | See the link in the references for more details.\n", " |\n", " | References:\n", " | - Wood, Pya, & Säfken (2016). Smoothing Parameter and Model Selection for General Smooth Models.\n", " | - ``scipy.optimize.approx_fprime``: at https://docs.scipy.org/doc/scipy/reference/generated/scipy.optimize.approx_fprime.html\n", " | - Krause et al. (submitted). The Mixed-Sparse-Smooth-Model Toolbox (MSSM): Efficient Estimation and Selection of Large Multi-Level Statistical Models. https://doi.org/10.48550/arXiv.2506.13132\n", " |\n", " | :param coef: The current coefficient estimate (as np.array of shape (-1,1) - so it must not be flattened!).\n", " | :type coef: np.ndarray\n", " | :param coef_split_idx: A list used to split (via :func:`np.split`) the ``coef`` into the sub-sets associated with each paramter of the llk.\n", " | :type coef_split_idx: [int]\n", " | :param ys: List containing the vectors of observations (each of shape (-1,1)) passed as ``lhs.variable`` to the formulas. **Note**: by convention ``mssm`` expectes that the actual observed data is passed along via the first formula (so it is stored in ``ys[0]``). If multiple formulas have the same ``lhs.variable`` as this first formula, then ``ys`` contains ``None`` at their indices to save memory.\n", " | :type ys: [np.ndarray or None]\n", " | :param Xs: A list of sparse model matrices per likelihood parameter.\n", " | :type Xs: [scp.sparse.csc_array]\n", " | :return: The Gradient of the log-likelihood evaluated at ``coef`` as numpy array of shape (-1,1).\n", " | :rtype: np.ndarray\n", " |\n", " | hessian(\n", " | self,\n", " | coef: numpy.ndarray,\n", " | coef_split_idx: list[int],\n", " | ys: list[numpy.ndarray],\n", " | Xs: list[scipy.sparse._csc.csc_array]\n", " | ) -> scipy.sparse._csc.csc_array | None\n", " | Function to evaluate the hessian of the llk at current coefficient estimate ``coef``.\n", " |\n", " | Only has to be implemented if full Newton is to be used to estimate coefficients. If the L-qEFS update by Krause et al. (in preparation) is\n", " | to be used insetad, this method does not have to be implemented.\n", " |\n", " | References:\n", " | - Wood, Pya, & Säfken (2016). Smoothing Parameter and Model Selection for General Smooth Models.\n", " | - ``scipy.optimize.approx_fprime``: at https://docs.scipy.org/doc/scipy/reference/generated/scipy.optimize.approx_fprime.html\n", " | - Krause et al. (submitted). The Mixed-Sparse-Smooth-Model Toolbox (MSSM): Efficient Estimation and Selection of Large Multi-Level Statistical Models. https://doi.org/10.48550/arXiv.2506.13132\n", " |\n", " | :param coef: The current coefficient estimate (as np.array of shape (-1,1) - so it must not be flattened!).\n", " | :type coef: np.ndarray\n", " | :param coef_split_idx: A list used to split (via :func:`np.split`) the ``coef`` into the sub-sets associated with each paramter of the llk.\n", " | :type coef_split_idx: [int]\n", " | :param ys: List containing the vectors of observations (each of shape (-1,1)) passed as ``lhs.variable`` to the formulas. **Note**: by convention ``mssm`` expectes that the actual observed data is passed along via the first formula (so it is stored in ``ys[0]``). If multiple formulas have the same ``lhs.variable`` as this first formula, then ``ys`` contains ``None`` at their indices to save memory.\n", " | :type ys: [np.ndarray or None]\n", " | :param Xs: A list of sparse model matrices per likelihood parameter.\n", " | :type Xs: [scp.sparse.csc_array]\n", " | :return: The Hessian of the log-likelihood evaluated at ``coef``.\n", " | :rtype: scp.sparse.csc_array\n", " |\n", " | init_coef(self, models: list[collections.abc.Callable]) -> numpy.ndarray\n", " | (Optional) Function to initialize the coefficients of the model.\n", " |\n", " | Can return ``None`` , in which case random initialization will be used.\n", " |\n", " | :param models: A list of :class:`mssm.models.GAMM`'s, - each based on one of the formulas provided to a model.\n", " | :type models: [mssm.models.GAMM]\n", " | :return: A numpy array of shape (-1,1), holding initial values for all model coefficients.\n", " | :rtype: np.ndarray\n", " |\n", " | init_lambda(self, penalties: list[collections.abc.Callable]) -> list[float]\n", " | (Optional) Function to initialize the smoothing parameters of the model.\n", " |\n", " | Can return ``None`` , in which case random initialization will be used.\n", " |\n", " | :param penalties: A list of all penalties to be estimated by the model.\n", " | :type penalties: [mssm.src.python.penalties.LambdaTerm]\n", " | :return: A list, holding - for each :math:`\\lambda` parameter to be estimated - an initial value.\n", " | :rtype: np.ndarray\n", " |\n", " | llk(\n", " | self,\n", " | coef: numpy.ndarray,\n", " | coef_split_idx: list[int],\n", " | ys: list[numpy.ndarray],\n", " | Xs: list[scipy.sparse._csc.csc_array]\n", " | ) -> float\n", " | log-probability of data under given model.\n", " |\n", " | References:\n", " | - Wood, Pya, & Säfken (2016). Smoothing Parameter and Model Selection for General Smooth Models.\n", " | - Wood, S. N. (2017). Generalized Additive Models: An Introduction with R, Second Edition (2nd ed.).\n", " | - Krause et al. (submitted). The Mixed-Sparse-Smooth-Model Toolbox (MSSM): Efficient Estimation and Selection of Large Multi-Level Statistical Models. https://doi.org/10.48550/arXiv.2506.13132\n", " |\n", " | :param coef: The current coefficient estimate (as np.array of shape (-1,1) - so it must not be flattened!).\n", " | :type coef: np.ndarray\n", " | :param coef_split_idx: A list used to split (via :func:`np.split`) the ``coef`` into the sub-sets associated with each paramter of the llk.\n", " | :type coef_split_idx: [int]\n", " | :param ys: List containing the vectors of observations (each of shape (-1,1)) passed as ``lhs.variable`` to the formulas. **Note**: by convention ``mssm`` expectes that the actual observed data is passed along via the first formula (so it is stored in ``ys[0]``). If multiple formulas have the same ``lhs.variable`` as this first formula, then ``ys`` contains ``None`` at their indices to save memory.\n", " | :type ys: [np.ndarray or None]\n", " | :param Xs: A list of sparse model matrices per likelihood parameter.\n", " | :type Xs: [scp.sparse.csc_array]\n", " | :return: The log-likelihood evaluated at ``coef``.\n", " | :rtype: float\n", " |\n", " | ----------------------------------------------------------------------\n", " | Data descriptors defined here:\n", " |\n", " | __dict__\n", " | dictionary for instance variables\n", " |\n", " | __weakref__\n", " | list of weak references to the object\n", "\n" ] } ], "source": [ "help(GSMMFamily)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "As mentioned, this again states that we only need to implement the `GSMMFamily.llk` method if we want to rely on the `L-qEFS` update. Let's take a closer look at what that function looks like:" ] }, { "cell_type": "code", "execution_count": 130, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Help on function llk in module mssm.src.python.exp_fam:\n", "\n", "llk(\n", " self,\n", " coef: numpy.ndarray,\n", " coef_split_idx: list[int],\n", " ys: list[numpy.ndarray],\n", " Xs: list[scipy.sparse._csc.csc_array]\n", ") -> float\n", " log-probability of data under given model.\n", "\n", " References:\n", " - Wood, Pya, & Säfken (2016). Smoothing Parameter and Model Selection for General Smooth Models.\n", " - Wood, S. N. (2017). Generalized Additive Models: An Introduction with R, Second Edition (2nd ed.).\n", " - Krause et al. (submitted). The Mixed-Sparse-Smooth-Model Toolbox (MSSM): Efficient Estimation and Selection of Large Multi-Level Statistical Models. https://doi.org/10.48550/arXiv.2506.13132\n", "\n", " :param coef: The current coefficient estimate (as np.array of shape (-1,1) - so it must not be flattened!).\n", " :type coef: np.ndarray\n", " :param coef_split_idx: A list used to split (via :func:`np.split`) the ``coef`` into the sub-sets associated with each paramter of the llk.\n", " :type coef_split_idx: [int]\n", " :param ys: List containing the vectors of observations (each of shape (-1,1)) passed as ``lhs.variable`` to the formulas. **Note**: by convention ``mssm`` expectes that the actual observed data is passed along via the first formula (so it is stored in ``ys[0]``). If multiple formulas have the same ``lhs.variable`` as this first formula, then ``ys`` contains ``None`` at their indices to save memory.\n", " :type ys: [np.ndarray or None]\n", " :param Xs: A list of sparse model matrices per likelihood parameter.\n", " :type Xs: [scp.sparse.csc_array]\n", " :return: The log-likelihood evaluated at ``coef``.\n", " :rtype: float\n", "\n" ] } ], "source": [ "help(GSMMFamily.llk)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Ok, this tells us what the `.llk` function expects in terms of parameters, and what it should return - the log-likelihood of the model as a float. Now we can go ahead and implement the `GSMMFamily`. We need to implement the following:\n", "\n", "- The `.__init__` method, which the `help` function tells us needs to receive arguments `pars` (the number of parameters of the log-likelihood, here 2) and `links` (the link functions to be used by the models of the parameters). We could also pass along additional arguments, but we don't need those in this simple example.\n", "- The `llk` method, which needs to accept arguments `coef` (a np.array holding the coefficients), `coef_split_idx` (a list with indices to split `coef` into parameter specific vectors), `ys` (a list holding the vectors of observations - in this example that is a single one), and `Xs` (a list holding the model matrices of all parameters)\n", "\n", "Below, we show how this implementation could look like:" ] }, { "cell_type": "code", "execution_count": 131, "metadata": {}, "outputs": [], "source": [ "class GSMMGAUMLS(GSMMFamily):\n", " # Implementation of the ``GSMMFamily`` class to estimate a Gaussian GAMLSS via the general smooth code and\n", " # the L-qEFS update by Krause et al. (in preparation).\n", " \n", " # We set up the constructor and then just call the constructor of the `GSMMFamily` class we inherit from\n", " def __init__(self, links:list[Link]) -> None:\n", " super().__init__(2, links)\n", " \n", " def llk(self, coef: np.ndarray,coef_split_idx: list[int],ys: list[np.ndarray],Xs: list[scp.sparse._csc.csc_array]):\n", " # Likelihood for a Gaussian GAM(LSS) - implemented so\n", " # that the model can be estimated using the general smooth code.\n", "\n", " # There is only one vector of observations - but Xs holds two model matrices!!\n", " y = ys[0]\n", "\n", " # Now we can split the coefficients into a vector per parameter\n", " split_coef = np.split(coef,coef_split_idx)\n", "\n", " # And then define the linear predictors for both parameters\n", " eta_mu = Xs[0]@split_coef[0]\n", " eta_sd = Xs[1]@split_coef[1]\n", " \n", " # And convert them into the actual predicted parameters\n", " mu_mu = self.links[0].fi(eta_mu)\n", " mu_sd = self.links[1].fi(eta_sd)\n", "\n", " # Now we can just evaluate the log-likelihood of len(y) independent Gaussians:\n", " llk = np.sum(scp.stats.norm.logpdf(y,loc=mu_mu,scale=mu_sd))\n", " return llk" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now we can simulate some data (we will use the complex GAMMLSS example we discussed earlier) and then estimate the model we estimated previously via the `GAMMLSS` class, using the `GSMM` class:" ] }, { "cell_type": "code", "execution_count": 132, "metadata": {}, "outputs": [], "source": [ "sim_dat = sim12(5000,c=0,seed=0,family=GAUMLSS([Identity(),LOG()]),n_ranef=20)\n", "\n", "# We again need to model the mean: \\mu_i = \\alpha + f(x0) + f(x1) + f_{x4}(x0)\n", "sim_formula_m = Formula(lhs(\"y\"),\n", " [i(),f([\"x0\"]),f([\"x1\"]),fs([\"x0\"],rf=\"x4\")],\n", " data=sim_dat)\n", "\n", "# and the standard deviation as well: log(\\sigma_i) = \\alpha + f(x2) + f(x3)\n", "sim_formula_sd = Formula(lhs(\"y\"),\n", " [i(),f([\"x2\"]),f([\"x3\"])],\n", " data=sim_dat)\n", "\n", "gsmm1 = GSMM([sim_formula_m,sim_formula_sd],GSMMGAUMLS([Identity(),LOGb(-0.0001)]))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Specfiying a `GSMM` model thus is very similar to specfiying a `GAMMLSS` model. Now we can fit the model using the `L-qEFS` update. For this, we only need to pass a single argument to the `fit` method of the `GSMM` model:" ] }, { "cell_type": "code", "execution_count": 133, "metadata": {}, "outputs": [], "source": [ "gsmm1.fit(method='qEFS',progress_bar=False)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "It takes longer to fit this model - mainly because it has to approximate the gradient of the log-likelihood. Importantly, despite only having access to the log-likelihood the model still produces estimates comparable to those obtained from the `GAMMLSS` class - which relies on both gradient and Hessian of the log-likelihood during estimation:" ] }, { "cell_type": "code", "execution_count": 134, "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig = plt.figure(figsize=(5*single_size,single_size),layout='constrained')\n", "axs = fig.subplots(1,5,gridspec_kw={\"wspace\":0.1})\n", "plot(gsmm1,axs=axs[:3])\n", "plot(gsmm1,axs=axs[3:],dist_par=1)" ] }, { "cell_type": "code", "execution_count": 135, "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# For comparison: the GAMMLSS estimates\n", "fig = plt.figure(figsize=(5*single_size,single_size),layout='constrained')\n", "axs = fig.subplots(1,5,gridspec_kw={\"wspace\":0.1})\n", "plot(gaumlss_model2,axs=axs[:3])\n", "plot(gaumlss_model2,axs=axs[3:],dist_par=1)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**Important**: while the `L-qEFS` update provides quantities that can be used to obtain confidence intervals (see the plot above), these are unlikely to have the same good coverage achieved by more theoretically complex algorithms (i.e., Newton's method - also implemented by the `GSMM` class but requiring users to code up the gradient and Hessian). Nevertheless, they can still offer an indication of the uncertainty in different effects." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Proportional Hazard models\n", "\n", "The `GSMM` class also supports estimation of proportional hazard models - both via the `L-qEFS` update and via Newton's method (see Wood et al., 2016). This section outlines how to estimate such models and how to visualize the estimated survival functions. We start with simulating some data:" ] }, { "cell_type": "code", "execution_count": 136, "metadata": {}, "outputs": [], "source": [ "# Simulate some data\n", "sim_dat = sim3(500,2,c=1,seed=0,family=PropHaz([0],[0]),binom_offset = 0.1,correlate=False)\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The `PropHaz` family implements the `GSMMFamily` class. In contrast to our previous simple example - this family requires two extra arguments:\n", "\n", "- a vector of unique event times `ut`\n", "- a vector indexing the unique event time in `ut` observed on the corresponding trial\n", "\n", "Below, we create these two vectors:" ] }, { "cell_type": "code", "execution_count": 137, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ " y x0 x1 x2 x3 eta delta \\\n", "0 29805.378136 0.499973 0.561587 0.056349 0.269721 -1.623298 1 \n", "1 29137.580996 0.732006 0.182843 0.052817 0.961029 -3.909978 1 \n", "2 29020.603591 0.266130 0.687415 0.800972 0.745394 -1.178566 1 \n", "3 28162.338874 0.777544 0.482538 0.996186 0.296208 -3.788008 1 \n", "4 27493.457712 0.105495 0.022611 0.457104 0.393151 -2.946211 1 \n", "\n", " index \n", "0 208 \n", "1 109 \n", "2 104 \n", "3 422 \n", "4 69 0.836\n" ] } ], "source": [ "# Prep everything for prophaz model\n", "\n", "# Create index variable for residual ordering\n", "sim_dat[\"index\"] = np.arange(sim_dat.shape[0])\n", "\n", "# Now re-order\n", "sim_dat = sim_dat.sort_values(['y'],ascending=[False])\n", "sim_dat = sim_dat.reset_index(drop=True)\n", "print(sim_dat.head(),np.mean(sim_dat[\"delta\"]))\n", "\n", "u,inv = np.unique(sim_dat[\"y\"],return_inverse=True)\n", "ut = np.flip(u)\n", "r = np.abs(inv - max(inv))\n", "res_idx = np.argsort(sim_dat[\"index\"].values)\n", "\n", "# And create the family\n", "PropHaz_fam = PropHaz(ut,r)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now we can set up the formula of the survival model. Note, that a survival model only requires specifying a single formula - which also **cannot** include an intercept term:" ] }, { "cell_type": "code", "execution_count": 138, "metadata": {}, "outputs": [], "source": [ "# Now specify formula and model\n", "sim_formula_m = Formula(lhs(\"delta\"),\n", " [f([\"x0\"]),f([\"x1\"]),f([\"x2\"]),f([\"x3\"])],\n", " data=sim_dat)\n", "\n", "model = GSMM([copy.deepcopy(sim_formula_m)],PropHaz_fam)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now we can fit the model - by default the `fit` method of a `GSMM` attempts to rely on Newton's method - so we dont have to specify anything else and can just call `fit`:" ] }, { "cell_type": "code", "execution_count": 139, "metadata": {}, "outputs": [], "source": [ "# Fit with Newton\n", "model.fit(progress_bar=False)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "When working with survival models, we are usually interested in visualizing the survival functions. Below we show how this can be achieved using the `PropHaz` family's `.get_survival` method:" ] }, { "cell_type": "code", "execution_count": 140, "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Now get estimate of survival function and see how it changes with x0\n", "new_dat = pd.DataFrame({\"x0\":np.linspace(0,1,5),\n", " \"x1\":np.linspace(0,1,5),\n", " \"x2\":np.linspace(0,1,5),\n", " \"x3\":np.linspace(0,1,5)})\n", "\n", "# Get model matrix using only f0\n", "_,Xt,_ = model.predict(use_terms=[0],n_dat=new_dat)\n", "\n", "# Now iterate over all time-points and obtain the predicted survival function + standard error estimate\n", "# for all 5 values of x0:\n", "S = np.zeros((len(ut),Xt.shape[0]))\n", "VS = np.zeros((len(ut),Xt.shape[0]))\n", "for idx,ti in enumerate(ut):\n", "\n", " # Su and VSu are of shape (5,1) here but will generally be of shape (Xt.shape[0],1)\n", " Su,VSu = PropHaz_fam.get_survival(model.coef,model.get_mmat(),sim_formula_m.y_flat[sim_formula_m.NOT_NA_flat],\n", " ti,Xt,model.lvi.T@model.lvi)\n", " S[idx,:] = Su.flatten()\n", " VS[idx,:] = VSu.flatten()\n", "\n", "# Now we can plot the estimated survival functions + approximate cis:\n", "for xi in range(Xt.shape[0]):\n", "\n", " plt.fill([*ut,*np.flip(ut)],\n", " [*(S[:,xi] + 1.96*VS[:,xi]),*np.flip(S[:,xi] - 1.96*VS[:,xi])],alpha=0.5)\n", " plt.plot(ut,S[:,xi],label=f\"x0 = {new_dat[\"x0\"][xi]}\")\n", "plt.legend()\n", "plt.xlabel(\"Time\")\n", "plt.ylabel(\"Survival\")\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 141, "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Note how the main effect of x0 is reflected in the plot above:\n", "plot(model,which=[0])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Residual plots can again be created via `plot_val` from `mssmViz` - by default Martingale residuals are returned (see Wood, 2017) for Proportional Hazard models. The example below also illustrates the use of the `gsmm_kwargs` and `gsmm_kwargs_pred` arguments of the `plot_val` function - see the doc string of the function for more details!" ] }, { "cell_type": "code", "execution_count": 142, "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig = plt.figure(figsize=(3*single_size,single_size),layout='constrained')\n", "axs = fig.subplots(1,3,gridspec_kw={\"wspace\":0.2})\n", "\n", "# Note the use of `gsmm_kwargs_pred={}` to ensure that the re-ordering is not applied to the plot against predicted values\n", "plot_val(model,gsmm_kwargs={\"reorder\":res_idx},gsmm_kwargs_pred={},ar_lag=25,axs=axs)\n", "\n", "# Can also get Deviance residuals:\n", "fig = plt.figure(figsize=(3*single_size,single_size),layout='constrained')\n", "axs = fig.subplots(1,3,gridspec_kw={\"wspace\":0.2})\n", "\n", "plot_val(model,gsmm_kwargs={\"reorder\":res_idx,\"resid_type\":\"Deviance\"},gsmm_kwargs_pred={\"resid_type\":\"Deviance\"},ar_lag=25,axs=axs)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## References\n", "\n", "**B-Splines and Difference Penalty bases**:\n", "\n", "- Eilers, P., & Marx, B. (1996). Flexible smoothing with B-splines and penalties. Statistical Science, 11(2), 89–121. https://doi.org/10.1214/ss/1038425655\n", "- Eilers, P., & Marx, B. (2010). Splines, knots, and penalties. https://doi.org/10.1002/WICS.125\n", "\n", "**GAMM Estimation as implemented by `mssm`**:\n", "\n", "- Wood, S. N. (2006). Low‐Rank Scale‐Invariant Tensor Product Smooths for Generalized Additive Mixed Models. Biometrics, 62(4), 1025–1036. https://doi.org/10.1111/j.1541-0420.2006.00574.x\n", "- Wood, S. N. (2011). Fast stable restricted maximum likelihood and marginal likelihood estimation of semiparametric generalized linear models: Estimation of Semiparametric Generalized Linear Models. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 73(1), 3–36. https://doi.org/10.1111/j.1467-9868.2010.00749.x\n", "- Wood, S. N., Scheipl, F., & Faraway, J. J. (2013). Straightforward intermediate rank tensor product smoothing in mixed models. Statistics and Computing, 23(3), 341–360. https://doi.org/10.1007/s11222-012-9314-z\n", "- Wood, S. N., Goude, Y., & Shaw, S. (2015). Generalized additive models for large data sets. Journal of the Royal Statistical Society: Series C (Applied Statistics), 64(1), 139–155. https://doi.org/10.1111/rssc.12068\n", "- Wood, S. N., Pya, N., & Säfken, B. (2016). Smoothing Parameter and Model Selection for General Smooth Models. Journal of the American Statistical Association, 111(516), 1548–1563. https://doi.org/10.1080/01621459.2016.1180986\n", "- Wood, S. N., Li, Z., Shaddick, G., & Augustin, N. H. (2017). Generalized Additive Models for Gigadata: Modeling the U.K. Black Smoke Network Daily Data. Journal of the American Statistical Association, 112(519), 1199–1210. https://doi.org/10.1080/01621459.2016.1195744\n", "- Wood, S. N., & Fasiolo, M. (2017). A generalized Fellner-Schall method for smoothing parameter optimization with application to Tweedie location, scale and shape models. Biometrics, 73(4), 1071–1081. https://doi.org/10.1111/biom.12666\n", "- Krause et al. (submitted). The Mixed-Sparse-Smooth-Model Toolbox (MSSM): Efficient Estimation and Selection of Large Multi-Level Statistical Models. https://doi.org/10.48550/arXiv.2506.13132\n", "\n", "**GAMMLSS Estimation as implemented by `mssm` & Smoothing penalty uncertainty**:\n", "\n", "- Rigby, R. A., & Stasinopoulos, D. M. (2005). Generalized Additive Models for Location, Scale and Shape. Journal of the Royal Statistical Society Series C: Applied Statistics, 54(3), 507–554. https://doi.org/10.1111/j.1467-9876.2005.00510.x\n", "- Wood, S. N., Pya, N., & Säfken, B. (2016). Smoothing Parameter and Model Selection for General Smooth Models. Journal of the American Statistical Association, 111(516), 1548–1563. https://doi.org/10.1080/01621459.2016.1180986\n", "- Krause et al. (submitted). The Mixed-Sparse-Smooth-Model Toolbox (MSSM): Efficient Estimation and Selection of Large Multi-Level Statistical Models. https://doi.org/10.48550/arXiv.2506.13132\n", "\n", "\n", "**Kernel penalties & Penalty-based model selection**:\n", "\n", "- Marra, G., & Wood, S. N. (2011). Practical variable selection for generalized additive models. Computational Statistics & Data Analysis, 55(7), 2372–2387. https://doi.org/10.1016/j.csda.2011.02.004\n", "\n", "**Whole-interval CIs**:\n", "\n", "- Simpson, G. (2016). Simultaneous intervals for smooths revisited. Accessed at: https://fromthebottomoftheheap.net/2016/12/15/simultaneous-interval-revisited/\n", "\n", "**GAMMS in general & Overview**:\n", "\n", "- Wood, S. N. (2020). Inference and computation with generalized additive models and their extensions. TEST, 29(2), 307–339. https://doi.org/10.1007/s11749-020-00711-5\n", "- Wood, S. N. (2017). Generalized Additive Models: An Introduction with R, Second Edition (2nd ed.). Chapman and Hall/CRC." ] } ], "metadata": { "kernelspec": { "display_name": "mssm_test_313", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.13.2" }, "orig_nbformat": 4 }, "nbformat": 4, "nbformat_minor": 2 }