Python Module Index

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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