- Name: python-pymc
- Version: 2.2
- Release: 3.mga4
- Epoch:
- Group: Sciences/Mathematics
- License: AFL
- Url:
- Summary: Markov Chain Monte Carlo sampling toolkit
- Architecture: x86_64
- Size: 3868707
- Distribution: Mageia
- Vendor: Mageia.Org
- Packager: umeabot <umeabot>
Description:
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.
- OptFlags: -O2 -g -pipe -Wformat -Werror=format-security -Wp,-D_FORTIFY_SOURCE=2 -fstack-protector --param=ssp-buffer-size=4 -fPIC
- Cookie: ecosse.mageia.org 1382410518
- Buildhost: ecosse.mageia.org
Sources packages:
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