Package python-module-pymc-tests: Information

Binary package: python-module-pymc-tests

Version: 2.3.6-alt1.1.1

Architecture: x86_64

Build time:  Mar 3, 2019, 06:06 PM in the task #223501

Source package: python-module-pymc

Category: Development/Python

Gear: https://git.altlinux.org/gears/p/python-module-pymc.git?a=tree;h…

Download: python-module-pymc-tests-2.3.6-alt1.1.1.x86_64.rpm

Build log: https://git.altlinux.org/tasks/223501/build/100/x86_64/log

Home page: https://pypi.python.org/pypi/pymc/

License: Academic Free License & BSD

Summary: Tests and examples for pymc

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.

This package contains tests and examples for pymc.

Maintainer: Aleksei Nikiforov