pkgsrc-wip/py-scikits_statsmodels/DESCR
Kamel Ibn Aziz Derouiche bc7787b07a Import py26-scikits_statsmodels-0.2.0 as wip/py-scikits_statsmodels.
Statsmodels is a python package that provides a complement to scipy for
statistical computations including descriptive statistics and
estimation of statistical models.

scikits.statsmodels 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, M-estimators for robust
linear models, and regression with discrete dependent variables, Logit,
Probit, MNLogit, Poisson, based on maximum likelihood estimators.
An extensive list of result statistics are avalable for each estimation
problem.
2011-01-24 09:37:39 +00:00

12 lines
675 B
Text

Statsmodels is a python package that provides a complement to scipy for
statistical computations including descriptive statistics and
estimation of statistical models.
scikits.statsmodels 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, M-estimators for robust
linear models, and regression with discrete dependent variables, Logit,
Probit, MNLogit, Poisson, based on maximum likelihood estimators.
An extensive list of result statistics are avalable for each estimation
problem.