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| author | wg <wg@FreeBSD.org> | 2013-11-22 20:40:09 +0800 |
|---|---|---|
| committer | wg <wg@FreeBSD.org> | 2013-11-22 20:40:09 +0800 |
| commit | 0a86727ddd5e5bb0f5e874af8a6c706464b8c57d (patch) | |
| tree | 01f9ca6a687b28bb9aa6c4c186331a01f6d002f4 /math | |
| parent | c1f98c37e8f4ad8f1bb8aaa585cb5eb1a3451379 (diff) | |
| download | freebsd-ports-gnome-0a86727ddd5e5bb0f5e874af8a6c706464b8c57d.tar.gz freebsd-ports-gnome-0a86727ddd5e5bb0f5e874af8a6c706464b8c57d.tar.zst freebsd-ports-gnome-0a86727ddd5e5bb0f5e874af8a6c706464b8c57d.zip | |
math/py-statsmodels: Complement to SciPy for statistical computations
Statsmodels is a Python package that provides a complement to scipy for
statistical computations including descriptive statistics and estimation and
inference for statistical models.
Main Features:
* linear regression models: GLS (including WLS and LS aith AR errors) and OLS.
* glm: Generalized linear models with support for all of the one-parameter
exponential family distributions.
* discrete: regression with discrete dependent variables, including Logit,
Probit, MNLogit, Poisson, based on maximum likelihood estimators
* rlm: Robust linear models with support for several M-estimators.
* tsa: models for time series analysis - univariate: AR, ARIMA; multivariate:
VAR and structural VAR
* nonparametric: (Univariate) kernel density estimators
* datasets: Datasets to be distributed and used for examples and in testing.
* stats: a wide range of statistical tests, diagnostics and specification tests
* iolib: Tools for reading Stata .dta files into numpy arrays, printing table
output to ascii, latex, and html
* miscellaneous models
* sandbox: statsmodels contains a sandbox folder with code in various stages of
* developement and testing which is not considered "production ready", including
Mixed models, GARCH and GMM estimators, kernel regression, panel data models.
WWW: https://www.github.com/statsmodels/statsmodels
PR: ports/183932
Submitted by: Johannes Jost Meixner <xmj chaot.net>
Diffstat (limited to 'math')
| -rw-r--r-- | math/Makefile | 1 | ||||
| -rw-r--r-- | math/py-statsmodels/Makefile | 58 | ||||
| -rw-r--r-- | math/py-statsmodels/distinfo | 2 | ||||
| -rw-r--r-- | math/py-statsmodels/pkg-descr | 24 | ||||
| -rw-r--r-- | math/py-statsmodels/pkg-plist | 2123 |
5 files changed, 2208 insertions, 0 deletions
diff --git a/math/Makefile b/math/Makefile index 2e5ce28872e6..441772ac7c72 100644 --- a/math/Makefile +++ b/math/Makefile @@ -568,6 +568,7 @@ SUBDIR += py-pymc SUBDIR += py-roman SUBDIR += py-scientific + SUBDIR += py-statsmodels SUBDIR += py-svgmath SUBDIR += py-symeig SUBDIR += py-sympy diff --git a/math/py-statsmodels/Makefile b/math/py-statsmodels/Makefile new file mode 100644 index 000000000000..1d573af9d674 --- /dev/null +++ b/math/py-statsmodels/Makefile @@ -0,0 +1,58 @@ +# Created by: Johannes Meixner <xmj@chaot.net> +# $FreeBSD$ + +PORTNAME= statsmodels +PORTVERSION= 0.5.0 +CATEGORIES= math python +MASTER_SITES= CHEESESHOP +PKGNAMEPREFIX= ${PYTHON_PKGNAMEPREFIX} + +MAINTAINER= xmj@chaot.net +COMMENT= Complement to SciPy for statistical computations + +LICENSE= BSD + +BUILD_DEPENDS= ${PYNUMPY} \ + ${PYTHON_PKGNAMEPREFIX}scipy>0:${PORTSDIR}/science/py-scipy \ + ${PYTHON_PKGNAMEPREFIX}pandas>0:${PORTSDIR}/math/py-pandas \ + ${PYTHON_PKGNAMEPREFIX}patsy>0:${PORTSDIR}/math/py-patsy +RUN_DEPENDS= ${PYNUMPY} \ + ${PYTHON_PKGNAMEPREFIX}scipy>0:${PORTSDIR}/science/py-scipy \ + ${PYTHON_PKGNAMEPREFIX}pandas>0:${PORTSDIR}/math/py-pandas \ + ${PYTHON_PKGNAMEPREFIX}patsy>0:${PORTSDIR}/math/py-patsy + +OPTIONS_DEFINE= DOCS EXAMPLES +DOCSDIR= ${PREFIX}/share/doc/py-${PORTNAME} +EXAMPLESDIR= ${PREFIX}/share/doc/py-${PORTNAME} + +USE_PYTHON= yes +USE_PYDISTUTILS= yes +PLIST_SUB= PYDISTUTILS_EGGINFO=${PYDISTUTILS_EGGINFO} +PYTHON_P3K_PLIST_HACK= yes +PYDISTUTILS_NOEGGINFO= yes +PORTDOCS= * .buildinfo +PORTEXAMPLES= * + +.include <bsd.port.options.mk> + +.if ${PORT_OPTIONS:MDOCS} +BUILD_DEPENDS+= sphinx-build:${PORTSDIR}/textproc/py-sphinx \ + ${PYTHON_PKGNAMEPREFIX}matplotlib>0:${PORTSDIR}/math/py-matplotlib \ + ipython:${PORTSDIR}/devel/ipython + +PYDISTUTILS_BUILD_TARGET+= build_sphinx +.endif + +post-install: + ${STRIP_CMD} ${STAGEDIR}${PYTHON_SITELIBDIR}/${PORTNAME}/nonparametric/_smoothers_lowess.so + ${STRIP_CMD} ${STAGEDIR}${PYTHON_SITELIBDIR}/${PORTNAME}/nonparametric/linbin.so + ${STRIP_CMD} ${STAGEDIR}${PYTHON_SITELIBDIR}/${PORTNAME}/tsa/kalmanf/kalman_loglike.so +.if ${PORT_OPTIONS:MDOCS} + ${MKDIR} ${STAGEDIR}${DOCSDIR} + ${INSTALL_DATA} ${WRKSRC}/README.txt ${WRKSRC}/README_l1.txt ${STAGEDIR}${DOCSDIR} + cd ${WRKSRC}/build/sphinx/html && ${COPYTREE_SHARE} . ${STAGEDIR}${DOCSDIR} +.endif + ${MKDIR} ${STAGEDIR}${EXAMPLESDIR} + cd ${WRKSRC}/examples && ${COPYTREE_SHARE} . ${STAGEDIR}${EXAMPLESDIR} + +.include <bsd.port.mk> diff --git a/math/py-statsmodels/distinfo b/math/py-statsmodels/distinfo new file mode 100644 index 000000000000..c2dd1e957b75 --- /dev/null +++ b/math/py-statsmodels/distinfo @@ -0,0 +1,2 @@ +SHA256 (statsmodels-0.5.0.tar.gz) = 65398518bdd414c712362738e61d34ee5ec07b4c084bba17c65af5f20ae109d0 +SIZE (statsmodels-0.5.0.tar.gz) = 5519668 diff --git a/math/py-statsmodels/pkg-descr b/math/py-statsmodels/pkg-descr new file mode 100644 index 000000000000..b9c4fae9d577 --- /dev/null +++ b/math/py-statsmodels/pkg-descr @@ -0,0 +1,24 @@ +Statsmodels is a Python package that provides a complement to scipy for +statistical computations including descriptive statistics and estimation and +inference for statistical models. + +Main Features: +* linear regression models: GLS (including WLS and LS aith AR errors) and OLS. +* glm: Generalized linear models with support for all of the one-parameter + exponential family distributions. +* discrete: regression with discrete dependent variables, including Logit, + Probit, MNLogit, Poisson, based on maximum likelihood estimators +* rlm: Robust linear models with support for several M-estimators. +* tsa: models for time series analysis - univariate: AR, ARIMA; multivariate: + VAR and structural VAR +* nonparametric: (Univariate) kernel density estimators +* datasets: Datasets to be distributed and used for examples and in testing. +* stats: a wide range of statistical tests, diagnostics and specification tests +* iolib: Tools for reading Stata .dta files into numpy arrays, printing table + output to ascii, latex, and html +* miscellaneous models +* sandbox: statsmodels contains a sandbox folder with code in various stages of +* developement and testing which is not considered "production ready", including + Mixed models, GARCH and GMM estimators, kernel regression, panel data models. + +WWW: https://www.github.com/statsmodels/statsmodels diff --git a/math/py-statsmodels/pkg-plist b/math/py-statsmodels/pkg-plist new file mode 100644 index 000000000000..07e2430980c0 --- /dev/null +++ b/math/py-statsmodels/pkg-plist @@ -0,0 +1,2123 @@ +%%PYTHON_SITELIBDIR%%/statsmodels/LICENSE.txt +%%PYTHON_SITELIBDIR%%/statsmodels/TODO.txt +%%PYTHON_SITELIBDIR%%/statsmodels/__init__.py +%%PYTHON_SITELIBDIR%%/statsmodels/__init__.pyc +%%PYTHON_SITELIBDIR%%/statsmodels/__init__.pyo +%%PYTHON_SITELIBDIR%%/statsmodels/api.py +%%PYTHON_SITELIBDIR%%/statsmodels/api.pyc +%%PYTHON_SITELIBDIR%%/statsmodels/api.pyo 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