Project Summary
scikits.statsmodels is a pure python package that provides classes and functions for the estimation of several categories of statistical models with numpy and scipy.
These currently include linear regression models, OLS, GLS, WLS and GLS with AR(p) errors, generalized linear models for six distribution families and M-estimators for robust linear models. Version 0.3 includes statistics and linear models, AR, ARMA, VAR, for time series analysis. An extensive list of result statistics are available for each estimation problem
Note: The ohloh code analysis includes part of the history of nipy, that is still included in the statsmodels bzr repositories.
To see the actual contributors to statsmodels sort the contributor list by most recent commits.
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- Code Locations:
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git://github.com/statsmodels/sta...
- Licenses:
- BSD-3-Clause
- Similar Projects:
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- Managers:
- josefpktd
In a Nutshell, statsmodels...
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has a well established, mature codebase
maintained by a very large development team
with increasing Y-O-Y commits -
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took an estimated 22 years of effort (COCOMO model)
starting with its first commit in March, 2006
ending with its most recent commit 2 days ago
Activity
30 Day Summary Apr 24 2013 — May 24 2013
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12 Month Summary May 24 2012 — May 24 2013
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Community
Copyright
©
2013
Black Duck Software, Inc.
and its contributors, Some Rights Reserved. Unless otherwise marked, this work is licensed under a
Creative Commons Attribution 3.0 Unported License
. Ohloh
®
and the Ohloh logo are trademarks of
Black Duck Software, Inc.
in the United States and/or other jurisdictions. All other trademarks are the property of their respective holders.