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A Markov Chain Monte Carlo sampling toolkit for python

Bayesian estimation, particularly using Markov chain Monte Carlo (MCMC), is an increasingly relevant approach to statistical estimation. However, few statistical software packages implement MCMC samplers, and they are non-trivial to code by hand. pymc is a python package that implements the Metropolis-Hastings algorithm as a python class, and is extremely flexible and applicable to a large suite of problems. pymc includes methods for summarizing output, plotting, goodness-of-fit and convergence diagnostics.

Source Files (show merged sources derived from linked package)

Filename Size Changed Actions
pymc-2.3.tar.gz 12.5 MB over 4 years ago
python-pymc.changes 583 Bytes over 4 years ago Download File
python-pymc.spec 2.26 KB over 4 years ago Download File

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