[SciPy-User] [ANN] statsmodels version 0.5.0 released

[Skipper Seabold]

Hi all,

I'm happy to announce on behalf of the statsmodels development team the
release of 0.5.0.

It's been a little over a year in the making. The release includes over
2000 commits from 38 authors. All users are encouraged to upgrade to this
version.

Highlights
========

* Support for fitting models via R-like formulas
* ANOVA modeling
* Multivariate kernel density estimators
* Nonparametric regression
* Empirical likelihood estimators
* Quantile regression
* Negative binomial maximum likelihood estimator
* l1-penalized discrete choice models
* New and improved graphics
* Power and sample size calculations
* And much more

Full Release Notes:
http://statsmodels.sourceforge.net/stable/release/version0.5.html
 Issues Closed:
http://statsmodels.sourceforge.net/stable/release/github-stats-0.5.html#issues-list-05
Installers: https://pypi.python.org/pypi/statsmodels

Thanks to
========

git log v0.4.3..v0.5.0 --format='* %aN ' | sort -u

* Ana Martinez Pardo
* anov
* avishaylivne
* Bruno Rodrigues
* Carl Vogel
* Chad Fulton
* Christian Prinoth
* Daniel B. Smith
* dengemann
* Dieter Vandenbussche
* Dougal Sutherland
* Enrico Giampieri
* evelynmitchell
* George Panterov
* Grayson
* Jan Schulz
* Jeff Reback
* Josef Perktold
* Justin Grana
* langmore
* Matthew Brett
* Nathaniel J. Smith
* otterb
* padarn
* Paul Hobson
* Pietro Battiston
* Ralf Gommers
* Richard T. Guy
* Robert Cimrman
* Skipper Seabold
* Thomas Haslwanter
* timmie
* Tom Augspurger
* Trent Hauck
* tylerhartley
* Vincent Arel-Bundock
* VirgileFritsch
* Zhenya

Let me know if you want to update your Mailmap name.


What is it
========
Statsmodels is a Python module that allows users to explore data, estimate
statistical models, and perform statistical tests. An extensive list of
descriptive statistics, statistical tests, plotting functions, and result
statistics are available for different types of data and each estimator.
Researchers across fields may find that statsmodels fully meets their needs
for statistical computing and data analysis in Python.

Dependencies
===========

Required dependencies:
    python >= 2.6 (including Python 3.x)
    numpy >= 1.5.1
    scipy >= 0.7
    pandas >= 0.7.1
    patsy >= 0.1.0

Build dependencies:
    cython >= 0.15.1 (If building from github repo)
    C compiler

Optional dependencies:
    matplotlib >= 1.0.0 : needed for plotting
    sphinx >= 1.0.0 : needed to build the docs
    ipython >= 1.0 : needed to build the notebook examples
    nose >= 1.0.0 : needed to run the tests


Links
======

Documentation: http://statsmodels.sourceforge.net/
Mailing List: https://groups.google.com/forum/#!forum/pystatsmodels
PyPi: https://pypi.python.org/pypi/statsmodels
Github: https://github.com/statsmodels/statsmodels/
Bug Tracker: https://github.com/statsmodels/statsmodels/issues

Cheers,

Skipper
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mail.scipy.org/pipermail/scipy-user/attachments/20130814/1f5aeb24/attachment.html>