Python Module Index

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statsmodels Statistical analysis in Python
statsmodels.base.model Base classes that are inherited by models
statsmodels.discrete.count_model
statsmodels.discrete.discrete_model Models for discrete data
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.genmod.bayes_mixed_glm Bayes Mixed Generalized Linear Models
statsmodels.genmod.cov_struct Covariance structures for Generalized Estimating Equations (GEE)
statsmodels.genmod.families.family
statsmodels.genmod.families.links
statsmodels.genmod.generalized_estimating_equations Generalized estimating equations
statsmodels.genmod.generalized_linear_model Generalized Linear Models (GLM)
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.tmodel
statsmodels.multivariate Models for multivariate data
statsmodels.multivariate.pca Principal Component Analaysis
statsmodels.nonparametric Nonparametric estimation of densities and curves
statsmodels.regression.linear_model Least squares linear models
statsmodels.regression.mixed_linear_model Mixed Linear Models
statsmodels.regression.quantile_regression Quantile regression
statsmodels.regression.recursive_ls Recursive least squares using the Kalman Filter
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.gof Goodness of fit measures and tests
statsmodels.stats.inter_rater
statsmodels.stats.mediation Mediation 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.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.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.tsa Time-series analysis
statsmodels.tsa.statespace Statespace models for time-series analysis
statsmodels.tsa.vector_ar Vector autoregressions and related tools
statsmodels.tsa.vector_ar.var_model Vector autoregressions

© 2009–2012 Statsmodels Developers
© 2006–2008 Scipy Developers
© 2006 Jonathan E. Taylor
Licensed under the 3-clause BSD License.
http://www.statsmodels.org/stable/py-modindex.html