Apocrypha

statsmodels

Statistical computations and models for use with SciPy

statsmodels is a Python module that allows users to explore data, estimate statistical models, and perform statistical tests. An extensive list of descriptive statistics, statistical tests, plotting functions, and result statistics are available for different types of data and each estimator. Researchers across fields may find that statsmodels fully meets their needs for statistical computing and data analysis in Python.

Available in

OverlayNewestEbuildsLast activity
gentoo gitweb ↗ 0.14.6 1 14 h details ›
tgbugs-overlay GitHub ↗ 0.14.6 2 5 d details ›
pypi GitHub ↗ 0.14.6 1 5 mo details ›

Versions & arches

VersionOverlay amd64arm64x86riscvamd64-linuxloong Committed
0.14.6 gentoo amd64 stable arm64 stable x86 testing riscv testing amd64-linux untested loong untested view · download · history ↗
0.14.6 pypi amd64 testing arm64 untested x86 testing riscv untested amd64-linux untested loong untested view · download · history ↗
0.14.6 tgbugs-overlay amd64 stable arm64 stable x86 testing riscv testing amd64-linux untested loong untested 2 mo view · download · history ↗
0.14.4 tgbugs-overlay amd64 stable arm64 stable x86 untested riscv testing amd64-linux testing loong testing 16 mo view · download · history ↗

Use flags of 0.14.6

  • examples Install examples, usually source code
  • doc Add extra documentation (API, Javadoc, etc). It is recommended to enable per package instead of globally
  • test Enable dependencies and/or preparations necessary to run tests (usually controlled by FEATURES=test but can be toggled independently)
  • debug Enable extra debug codepaths, like asserts and extra output. If you want to get meaningful backtraces see https://wiki.gentoo.org/wiki/Project:Quality_Assurance/Backtraces
3 expansion flags (python targets, ABIs, cpu flags…)
  • python_targets_python3_12
  • python_targets_python3_13
  • python_targets_python3_14

Runtime dependencies of 0.14.6

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