math/py-statsmodels 0.14.1 DragonFly

statsmodels is a Python package that provides a complement to scipy for statistical computations including descriptive statistics and estimation and inference for statistical models.

Main Features:

• Linear regression models
• Mixed Linear Model with mixed effects and variance components
• GLM: Generalized linear models with support for all of the one-parameter exponential family distributions
• Bayesian Mixed GLM for Binomial and Poisson
• GEE: Generalized Estimating Equations for one-way clustered or longitudinal data
• Discrete models
• RLM: Robust linear models with support for several M-estimators.
• Time Series Analysis: models for time series analysis
• Survival analysis
• Multivariate
• Nonparametric statistics: Univariate and multivariate kernel density estimators
• Datasets: Datasets used for examples and in testing
• Statistics: a wide range of statistical tests
• Imputation with MICE, regression on order statistic and Gaussian imputation
• Mediation analysis
• Graphics includes plot functions for visual analysis of data and model results
• I/O
• Miscellaneous models
• Sandbox: statsmodels contains a sandbox folder with code in various stages of development and testing which is not considered "production ready". This covers among others