[Numpy-discussion] ANN: PyMC 2.0

Christopher Fonnesbeck fonnesbeck@maths.otago.ac...
Mon Jan 5 20:41:57 CST 2009


Numpy list members,

It gives me great pleasure to be able to announce the long-awaited  
release of PyMC 2.0. Platform-specific installers have been uploaded  
to the Google Code page (Mac OSX) and the Python Package Index (all  
other platforms), along with the new user's guide (http://pymc.googlecode.com/files/UserGuide2.0.pdf 
).

PyMC is a python module that implements Bayesian statistical models  
and fitting algorithms, including Markov chain Monte Carlo. Its  
flexibility makes it applicable to a large suite of problems as well  
as easily extensible. Along with core sampling functionality, PyMC  
includes methods for summarizing output, plotting, goodness-of-fit and  
convergence diagnostics.

PyMC 2.0 is a quantum leap from the 1.3 release. It includes a  
completely revised object model and syntax, more efficient log- 
probability computation, a variety of specialised MCMC algorithms, and  
an expanded set of optimised probability distributions. As a result,  
models built for previous versions of PyMC will not run under version  
2.0.

I would like to particularly thank Anand Patil and David Huard, who  
have done most of the work on this version, and to all the users who  
have sent questions, comments and bug reports over the past year or  
two. Please keep the feedback coming!

Please report any problems with the release to the issues page (http://code.google.com/p/pymc/issues/list 
).

Python Package Index: http://pypi.python.org/pypi/pymc/
Google Code: http://pymc.googelcode.com
Mailing List: http://groups.google.com/group/pymc

Happy new year,
Chris
--
Christopher J. Fonnesbeck
Department of Mathematics and Statistics
University of Otago, PO Box 56
Dunedin, New Zealand



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