python-statsmodels

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


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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    
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