Python module for the estimation of statistical models
statsmodels Python module provides classes and functions for the estimation of several categories of statistical models. These currently include linear regression models, OLS, GLS, WLS and GLS with AR(p) errors, generalized linear models for six distribution families and M-estimators for robust linear models. An extensive list of result statistics are available for each estimation problem.
Related packages: python-scikits.statsmodels, python-statsmodels-doc, python-statsmodels-lib
Version control system available: Browse sources
Distribution | Base version | Our version | Architectures |
---|---|---|---|
Debian GNU/Linux 6.0 (squeeze) | 0.4.2-1~nd60+1 | i386, amd64, sparc | |
Debian GNU/Linux 7.0 (wheezy) | 0.4.2-1 | 0.5.0-1~nd70+1 | i386, amd64, sparc |
Debian GNU/Linux 8.0 (jessie) | 0.4.2-1.2 | 0.6.1-1~nd80+1 | i386, amd64, sparc |
Debian testing (stretch) | 0.4.2-1.2 | 0.6.1-1~nd80+1+nd90+1 | i386, amd64, sparc |
Debian unstable (sid) | 0.6.1-4 | 0.6.1-1~nd+1 | i386, amd64, sparc |
Ubuntu 12.04 LTS “Precise Pangolin” (precise) | 0.3.1-3ubuntu1 | 0.5.0-1~nd12.04+1 | i386, amd64, sparc |
Ubuntu 14.04 “Trusty Tahr” (trusty) | 0.5.0+git13-g8e07d34-1ubuntu2 | ||
Ubuntu 14.10 “Utopic Unicorn” (utopic) | 0.5.0+git13-g8e07d34-1ubuntu2 | ||
Ubuntu 15.04 “Vivid Vervet” (vivid) | 0.5.0+git13-g8e07d34-1ubuntu2 |