statsmodels

Statistical computations and models for Python

Development Status
- 4 - Beta
Environment
- Console
Intended Audience
License
- OSI Approved :: BSD License
Natural Language
- English
Operating System
- OS Independent
Programming Language
Topic
- Office/Business :: Financial
- Scientific/Engineering

Project description

About Statsmodels

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

Documentation

The documentation for the latest release is at

https://www.statsmodels.org/stable/

The documentation for the development version is at

https://www.statsmodels.org/dev/

Recent improvements are highlighted in the release notes

https://www.statsmodels.org/stable/release/version0.9.html

Backups of documentation are available at https://statsmodels.github.io/stable/ and https://statsmodels.github.io/dev/.

Main Features

Linear regression models:
- Ordinary least squares
- Generalized least squares
- Weighted least squares
- Least squares with autoregressive errors
- Quantile regression
- Recursive least squares
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:
- Logit and Probit
- Multinomial logit (MNLogit)
- Poisson and Generalized Poisson regression
- Negative Binomial regression
- Zero-Inflated Count models
RLM: Robust linear models with support for several M-estimators.
Time Series Analysis: models for time series analysis
- Complete StateSpace modeling framework
  - Seasonal ARIMA and ARIMAX models
  - VARMA and VARMAX models
  - Dynamic Factor models
  - Unobserved Component models
- Markov switching models (MSAR), also known as Hidden Markov Models (HMM)
- Univariate time series analysis: AR, ARIMA
- Vector autoregressive models, VAR and structural VAR
- Vector error correction modle, VECM
- exponential smoothing, Holt-Winters
- Hypothesis tests for time series: unit root, cointegration and others
- Descriptive statistics and process models for time series analysis
Survival analysis:
- Proportional hazards regression (Cox models)
- Survivor function estimation (Kaplan-Meier)
- Cumulative incidence function estimation
Multivariate:
- Principal Component Analysis with missing data
- Factor Analysis with rotation
- MANOVA
- Canonical Correlation
Nonparametric statistics: Univariate and multivariate kernel density estimators
Datasets: Datasets used for examples and in testing
Statistics: a wide range of statistical tests
- diagnostics and specification tests
- goodness-of-fit and normality tests
- functions for multiple testing
- various additional 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
- Tools for reading Stata .dta files, but pandas has a more recent version
- Table output to ascii, latex, and html
Miscellaneous models
Sandbox: statsmodels contains a sandbox folder with code in various stages of developement and testing which is not considered “production ready”. This covers among others
- Generalized method of moments (GMM) estimators
- Kernel regression
- Various extensions to scipy.stats.distributions
- Panel data models
- Information theoretic measures

How to get it

The master branch on GitHub is the most up to date code

https://www.github.com/statsmodels/statsmodels

Source download of release tags are available on GitHub

https://github.com/statsmodels/statsmodels/tags

Binaries and source distributions are available from PyPi

https://pypi.org/project/statsmodels/

Binaries can be installed in Anaconda

conda install statsmodels

Installing from sources

See INSTALL.txt for requirements or see the documentation

https://statsmodels.github.io/dev/install.html

License

Modified BSD (3-clause)

Discussion and Development

Discussions take place on our mailing list.

http://groups.google.com/group/pystatsmodels

We are very interested in feedback about usability and suggestions for improvements.

Bug Reports

Bug reports can be submitted to the issue tracker at

https://github.com/statsmodels/statsmodels/issues

Project details

Development Status
- 4 - Beta
Environment
- Console
Intended Audience
License
- OSI Approved :: BSD License
Natural Language
- English
Operating System
- OS Independent
Programming Language
Topic
- Office/Business :: Financial
- Scientific/Engineering

Release history Release notifications

This version

0.10.2

Nov 23, 2019

0.10.1

Jul 19, 2019

0.10.0

Jun 24, 2019

0.10.0rc2 pre-release

Jun 7, 2019

0.9.0

May 15, 2018

0.9.0rc1 pre-release

Apr 30, 2018

0.8.0

Feb 8, 2017

0.8.0rc1 pre-release

Jun 21, 2016

0.6.1

Dec 2, 2014

0.6.0

Nov 5, 2014

0.6.0-rc2 pre-release

Oct 21, 2014

0.6.0-rc1 pre-release

Oct 15, 2014

0.5.0

Aug 14, 2013

0.5.0rc1 pre-release

Aug 6, 2013

0.4.3

Jul 2, 2012

0.4.1

Jun 19, 2012

0.4.0

Apr 26, 2012

0.4.0rc2 pre-release

Apr 11, 2012

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