# math/py-statsmodels - The NetBSD Packages Collection

Statistical computations and models for Python

    statsmodels is a Python module that provides classes and functions for
    the estimation of many different statistical models, as well as for
    conducting statistical tests, and statistical data exploration. An
    extensive list of result statistics are available for each
    estimator. The results are tested against existing statistical
    packages to ensure that they are correct.

- Source version: `py313-statsmodels-0.14.6`
- Maintainer: jihbed.research AT gmail.com
- Website: https://www.statsmodels.org/
- License: modified-bsd
- Package history: cvs, hg, git

## Build dependencies

devel/py-cython devel/py-setuptools devel/py-setuptools_scm devel/py-build misc/py-installer pkgtools/mktools pkgtools/cwrappers

## Runtime dependencies

devel/py-packaging math/py-pandas math/py-patsy math/py-scipy math/py-numpy math/py-numpy lang/python313 lang/python313 math/py-numpy

## Binary packages

OS | Architecture | Version
--- | --- | ---
NetBSD 10.0 | aarch64 | py311-statsmodels-0.14.6.tgz
NetBSD 10.0 | aarch64 | py312-statsmodels-0.14.6.tgz
NetBSD 10.0 | aarch64 | py313-statsmodels-0.14.6.tgz
NetBSD 10.0 | aarch64 | py314-statsmodels-0.14.6.tgz
NetBSD 10.0 | aarch64eb | py310-statsmodels-0.14.4nb1.tgz
NetBSD 10.0 | aarch64eb | py311-statsmodels-0.14.4nb1.tgz
NetBSD 10.0 | aarch64eb | py312-statsmodels-0.14.4nb1.tgz
NetBSD 10.0 | aarch64eb | py313-statsmodels-0.14.4nb1.tgz
NetBSD 10.0 | earmv7hf | py311-statsmodels-0.14.6.tgz
NetBSD 10.0 | earmv7hf | py312-statsmodels-0.14.6.tgz
NetBSD 10.0 | earmv7hf | py313-statsmodels-0.14.6.tgz
NetBSD 10.0 | earmv7hf | py314-statsmodels-0.14.6.tgz
NetBSD 10.0 | earmv7hf | py311-statsmodels-0.14.6.tgz
NetBSD 10.0 | earmv7hf | py312-statsmodels-0.14.6.tgz
NetBSD 10.0 | earmv7hf | py313-statsmodels-0.14.6.tgz
NetBSD 10.0 | earmv7hf | py314-statsmodels-0.14.6.tgz
NetBSD 10.0 | i386 | py311-statsmodels-0.14.6.tgz
NetBSD 10.0 | i386 | py312-statsmodels-0.14.6.tgz
NetBSD 10.0 | i386 | py313-statsmodels-0.14.6.tgz
NetBSD 10.0 | i386 | py314-statsmodels-0.14.6.tgz
NetBSD 10.0 | i386 | py311-statsmodels-0.14.6.tgz
NetBSD 10.0 | i386 | py312-statsmodels-0.14.6.tgz
NetBSD 10.0 | i386 | py313-statsmodels-0.14.6.tgz
NetBSD 10.0 | i386 | py314-statsmodels-0.14.6.tgz
NetBSD 10.0 | powerpc | py310-statsmodels-0.14.4nb1.tgz
NetBSD 10.0 | powerpc | py311-statsmodels-0.14.4nb1.tgz
NetBSD 10.0 | powerpc | py312-statsmodels-0.14.4nb1.tgz
NetBSD 10.0 | powerpc | py313-statsmodels-0.14.4nb1.tgz
NetBSD 10.0 | powerpc | py311-statsmodels-0.14.6.tgz
NetBSD 10.0 | powerpc | py312-statsmodels-0.14.6.tgz
NetBSD 10.0 | powerpc | py313-statsmodels-0.14.6.tgz
NetBSD 10.0 | powerpc | py314-statsmodels-0.14.6.tgz
NetBSD 10.0 | powerpc | py311-statsmodels-0.14.6.tgz
NetBSD 10.0 | powerpc | py312-statsmodels-0.14.6.tgz
NetBSD 10.0 | powerpc | py313-statsmodels-0.14.6.tgz
NetBSD 10.0 | powerpc | py314-statsmodels-0.14.6.tgz
NetBSD 10.0 | sparc64 | py310-statsmodels-0.14.3.tgz
NetBSD 10.0 | sparc64 | py311-statsmodels-0.14.3.tgz
NetBSD 10.0 | sparc64 | py312-statsmodels-0.14.3.tgz
NetBSD 10.0 | sparc64 | py311-statsmodels-0.14.6.tgz
NetBSD 10.0 | sparc64 | py312-statsmodels-0.14.6.tgz
NetBSD 10.0 | sparc64 | py313-statsmodels-0.14.6.tgz
NetBSD 10.0 | sparc64 | py314-statsmodels-0.14.6.tgz
NetBSD 10.0 | x86_64 | py311-statsmodels-0.14.6.tgz
NetBSD 10.0 | x86_64 | py312-statsmodels-0.14.6.tgz
NetBSD 10.0 | x86_64 | py313-statsmodels-0.14.6.tgz
NetBSD 10.0 | x86_64 | py314-statsmodels-0.14.6.tgz
NetBSD 10.0 | x86_64 | py311-statsmodels-0.14.6.tgz
NetBSD 10.0 | x86_64 | py312-statsmodels-0.14.6.tgz
NetBSD 10.0 | x86_64 | py313-statsmodels-0.14.6.tgz
NetBSD 10.0 | x86_64 | py314-statsmodels-0.14.6.tgz
NetBSD 11.0 | aarch64 | py312-statsmodels-0.14.6.tgz
NetBSD 11.0 | aarch64 | py313-statsmodels-0.14.6.tgz
NetBSD 11.0 | aarch64 | py314-statsmodels-0.14.6.tgz
NetBSD 11.0 | aarch64eb | py311-statsmodels-0.14.6.tgz
NetBSD 11.0 | aarch64eb | py312-statsmodels-0.14.6.tgz
NetBSD 11.0 | aarch64eb | py313-statsmodels-0.14.6.tgz
NetBSD 11.0 | aarch64eb | py314-statsmodels-0.14.6.tgz
NetBSD 11.0 | earmv6hf | py311-statsmodels-0.14.6.tgz
NetBSD 11.0 | earmv6hf | py312-statsmodels-0.14.6.tgz
NetBSD 11.0 | earmv6hf | py313-statsmodels-0.14.6.tgz
NetBSD 11.0 | earmv6hf | py314-statsmodels-0.14.6.tgz
NetBSD 11.0 | earmv6hf | py311-statsmodels-0.14.6.tgz
NetBSD 11.0 | earmv6hf | py312-statsmodels-0.14.6.tgz
NetBSD 11.0 | earmv6hf | py313-statsmodels-0.14.6.tgz
NetBSD 11.0 | earmv6hf | py314-statsmodels-0.14.6.tgz
NetBSD 11.0 | i386 | py311-statsmodels-0.14.6.tgz
NetBSD 11.0 | i386 | py312-statsmodels-0.14.6.tgz
NetBSD 11.0 | i386 | py313-statsmodels-0.14.6.tgz
NetBSD 11.0 | i386 | py314-statsmodels-0.14.6.tgz
NetBSD 11.0 | i386 | py311-statsmodels-0.14.6.tgz
NetBSD 11.0 | i386 | py312-statsmodels-0.14.6.tgz
NetBSD 11.0 | i386 | py313-statsmodels-0.14.6.tgz
NetBSD 11.0 | i386 | py314-statsmodels-0.14.6.tgz
NetBSD 11.0 | powerpc | py311-statsmodels-0.14.6.tgz
NetBSD 11.0 | powerpc | py312-statsmodels-0.14.6.tgz
NetBSD 11.0 | powerpc | py313-statsmodels-0.14.6.tgz
NetBSD 11.0 | powerpc | py314-statsmodels-0.14.6.tgz
NetBSD 11.0 | x86_64 | py311-statsmodels-0.14.6.tgz
NetBSD 11.0 | x86_64 | py312-statsmodels-0.14.6.tgz
NetBSD 11.0 | x86_64 | py313-statsmodels-0.14.6.tgz
NetBSD 11.0 | x86_64 | py314-statsmodels-0.14.6.tgz
NetBSD 11.0 | x86_64 | py311-statsmodels-0.14.6.tgz
NetBSD 11.0 | x86_64 | py312-statsmodels-0.14.6.tgz
NetBSD 11.0 | x86_64 | py313-statsmodels-0.14.6.tgz
NetBSD 11.0 | x86_64 | py314-statsmodels-0.14.6.tgz
NetBSD 9.0 | i386 | py311-statsmodels-0.14.6.tgz
NetBSD 9.0 | i386 | py312-statsmodels-0.14.6.tgz
NetBSD 9.0 | i386 | py313-statsmodels-0.14.6.tgz
NetBSD 9.0 | i386 | py314-statsmodels-0.14.6.tgz
NetBSD 9.0 | x86_64 | py311-statsmodels-0.14.6.tgz
NetBSD 9.0 | x86_64 | py312-statsmodels-0.14.6.tgz
NetBSD 9.0 | x86_64 | py313-statsmodels-0.14.6.tgz
NetBSD 9.0 | x86_64 | py314-statsmodels-0.14.6.tgz

Binary packages can be installed with the high-level tool pkgin (which can be installed with pkg_add) or pkg_add(1) (installed by default). The NetBSD packages collection is also designed to permit easy installation from source.

## Available build options

(none)

## Known vulnerabilities

(no vulnerabilities known)

The pkg_admin audit command locates any installed package which has been mentioned in security advisories as having vulnerabilities.

Please note the vulnerabilities database might not be fully accurate, and not every bug is exploitable with every configuration.

Problem reports, updates or suggestions for this package should be reported with send-pr.