python-statsmodels-doc – documentation and examples for statsmodels¶
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Statsmodels Python modules are providing 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.
This package contains HTML documentation and example scripts for python-statsmodels.
Distribution |
Base version |
Our version |
Architectures |
|---|---|---|---|
Debian GNU/Linux 10.0 (buster) |
0.8.0-9 |
0.9.0-2~nd100+1 |
i386, amd64, sparc, armel, ppc64el |
Debian GNU/Linux 11.0 (bullseye) |
0.12.2-1 |
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Debian GNU/Linux 12.0 (bookworm) |
0.13.5+dfsg-7 |
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Debian GNU/Linux 9.0 (stretch) |
0.8.0~rc1+git59-gef47cd9-5 |
0.8.0-1~nd90+1 |
i386, amd64, sparc, armel |
Debian testing (trixie) |
0.14.4+dfsg-1 |
||
Debian unstable (sid) |
0.14.4+dfsg-1 |
0.9.0-2~nd+1 |
i386, amd64, sparc, armel |
Ubuntu 16.04 “Xenial Xerus” (xenial) |
0.6.1-4 |
0.8.0-1~nd16.04+1 |
i386, amd64, sparc |
Ubuntu 18.04 “Bionic Beaver” (bionic) |
0.8.0-6 |
||
Ubuntu 20.04 “Focal Fossa” (focal) |
0.11.1-1 |
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Ubuntu 22.04 “Jammy Jellyfish” (jammy) |
0.13.2+dfsg-1 |
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Ubuntu 24.04 “Noble Numbat” (noble) |
0.14.1+dfsg-2build1 |