Python Module Index

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	s
	statsmodels	Statistical analysis in Python
	statsmodels.base.distributed_estimation
	statsmodels.base.model	Base classes that are inherited by models
	statsmodels.base.optimizer
	statsmodels.discrete.conditional_models
	statsmodels.discrete.count_model
	statsmodels.discrete.discrete_model	Models for discrete data
	statsmodels.distributions.copula.api	Copula for modeling parameter dependence
	statsmodels.distributions.discrete	Support for count distributions
	statsmodels.distributions.empirical_distribution	Tools for working with empirical distributions
	statsmodels.duration	Models for durations
	statsmodels.duration.hazard_regression	Proportional hazards model for Survival Analysis
	statsmodels.duration.survfunc	Models for Survival Analysis
	statsmodels.emplike	Empirical likelihood tools
	statsmodels.gam.generalized_additive_model	Generalized Additive Models
	statsmodels.gam.smooth_basis	Classes for Spline and other Smooth Basis Function
	statsmodels.genmod.bayes_mixed_glm	Bayes Mixed Generalized Linear Models
	statsmodels.genmod.cov_struct	Covariance structures for Generalized Estimating Equations (GEE)
	statsmodels.genmod.families.family	Generalized Linear Model (GLM) families
	statsmodels.genmod.families.links
	statsmodels.genmod.families.varfuncs
	statsmodels.genmod.generalized_estimating_equations	Generalized estimating equations
	statsmodels.genmod.generalized_linear_model	Generalized Linear Models (GLM)
	statsmodels.genmod.qif	Quadratic inference functions
	statsmodels.graphics
	statsmodels.imputation.mice	Multiple imputation for missing data
	statsmodels.iolib	Tools for reading datasets and producing summary output
	statsmodels.miscmodels
	statsmodels.miscmodels.count
	statsmodels.miscmodels.ordinal_model
	statsmodels.miscmodels.tmodel
	statsmodels.multivariate	Models for multivariate data
	statsmodels.multivariate.pca	Principal Component Analaysis
	statsmodels.nonparametric	Nonparametric estimation of densities and curves
	statsmodels.othermod
	statsmodels.othermod.betareg
	statsmodels.regression.dimred	Dimension reduction methods
	statsmodels.regression.linear_model	Least squares linear models
	statsmodels.regression.mixed_linear_model	Mixed Linear Models
	statsmodels.regression.process_regression	Process regression
	statsmodels.regression.quantile_regression	Quantile regression
	statsmodels.regression.recursive_ls	Recursive least squares using the Kalman Filter
	statsmodels.regression.rolling	Rolling (moving) least squares
	statsmodels.rlm	Outlier robust linear models
	statsmodels.robust
	statsmodels.robust.norms
	statsmodels.robust.robust_linear_model
	statsmodels.robust.scale
	statsmodels.sandbox	Experimental tools that have not been fully vetted
	statsmodels.sandbox.distributions	Probability distributions
	statsmodels.sandbox.distributions.extras	Probability distributions and random number generators
	statsmodels.sandbox.distributions.transformed	Experimental probability distributions and random number generators
	statsmodels.sandbox.regression	Experimental regression tools
	statsmodels.sandbox.regression.anova_nistcertified	Experimental ANOVA estimator
	statsmodels.sandbox.regression.gmm	A framework for implementing Generalized Method of Moments (GMM)
	statsmodels.sandbox.stats.multicomp	Experimental methods for controlling size while performing multiple comparisons
	statsmodels.sandbox.stats.runs	Experimental statistical methods and tests to analyze runs
	statsmodels.sandbox.sysreg	Experimental system regression models
	statsmodels.sandbox.tools.tools_tsa	Experimental tools for working with time-series
	statsmodels.sandbox.tsa	Experimental time-series analysis models
	statsmodels.stats	Statistical methods and tests
	statsmodels.stats.anova	Analysis of Variance
	statsmodels.stats.contingency_tables	Contingency table analysis
	statsmodels.stats.contrast	Classes for statistical test
	statsmodels.stats.correlation_tools	Procedures for ensuring correlations are positive semi-definite
	statsmodels.stats.descriptivestats	Descriptive statistics
	statsmodels.stats.diagnostic	Statistical methods and tests to diagnose model fit problems
	statsmodels.stats.dist_dependence_measures	Distance Dependence Measures
	statsmodels.stats.gof	Goodness of fit measures and tests
	statsmodels.stats.inter_rater
	statsmodels.stats.knockoff_regeffects	Regression Knock-Off Effects
	statsmodels.stats.mediation	Mediation analysis
	statsmodels.stats.meta_analysis	Meta-Analysis
	statsmodels.stats.moment_helpers	Tools for converting moments
	statsmodels.stats.multicomp	Methods for controlling size while performing multiple comparisons
	statsmodels.stats.multitest	Multiple testing p-value and FDR adjustments
	statsmodels.stats.multivariate	Statistical functions for multivariate samples.
	statsmodels.stats.oaxaca	Oaxaca-Blinder Decomposition
	statsmodels.stats.oneway	Statistical functions for oneway analysis, Anova.
	statsmodels.stats.outliers_influence	Statistical methods and measures for outliers and influence
	statsmodels.stats.power	Power and size calculations for common tests
	statsmodels.stats.proportion	Tests for proportions
	statsmodels.stats.rates	Tests for Poisson rates
	statsmodels.stats.robust_compare	Trimmed sample statistics.
	statsmodels.stats.stattools	Statistical methods and tests that do not fit into other categories
	statsmodels.stats.weightstats	Weighted statistics
	statsmodels.tools	Tools for variable transformation and common numerical operations
	statsmodels.tools.rng_qrng	Tools for working with random variable generation
	statsmodels.tools.sm_exceptions	Exceptions and Warnings
	statsmodels.tsa	Time-series analysis
	statsmodels.tsa.base.prediction	Shared objects for predictive methods
	statsmodels.tsa.forecasting	Models designed for forecasting
	statsmodels.tsa.forecasting.stl	Models designed for forecasting
	statsmodels.tsa.forecasting.theta	Models designed for forecasting
	statsmodels.tsa.statespace	Statespace models for time-series analysis
	statsmodels.tsa.vector_ar	Vector autoregressions and related tools
	statsmodels.tsa.vector_ar.svar_model	Structural vector autoregressions and related tools
	statsmodels.tsa.vector_ar.var_model	Vector autoregressions