[SciPy-User] Announcing statsmodels 0.3.0 release
Skipper Seabold
jsseabold at gmail.com
Tue Jul 19 10:43:04 EDT 2011
We are happy to announce that statsmodels version 0.3.0 is available
for download. You can install from PyPI with
easy_install -U scikits.statsmodels
What's new?
https://github.com/statsmodels/statsmodels/blob/master/CHANGES.txt
Documentation: http://statsmodels.sourceforge.net/
Source Distributions: http://pypi.python.org/pypi/scikits.statsmodels
Repository: https://github.com/statsmodels/statsmodels
Mailing List: https://groups.google.com/group/pystatsmodels
Bug Tracker: https://github.com/statsmodels/statsmodels/issues
You can find us on the web at http://blog.wesmckinney.com/ and
http://scipystats.blogspot.com/ or keep up with development on twitter
@statsmodels
Cheers,
Josef Perktold, Skipper Seabold, Wes McKinney, Mike Crow, Vincent Davis
----------------------------------------------
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,
timeseries models, ARMA, AR and VAR. An extensive list of result statistics
are available for each estimation problem. Statsmodels also contains
descriptive statistics, a wide range of statistical tests, tools for density
estimation, and more.
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