python-pymc – Bayesian statistical models and fitting algorithms

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

Package availability chart
Distribution Base version Our version Architectures
Debian GNU/Linux 7.0 (wheezy)   2.2+ds-1~nd70+1 i386, amd64
Debian GNU/Linux 8.0 (jessie) 2.2+ds-1 2.3.4+ds-1~nd80+1 i386, amd64
Debian GNU/Linux 9.0 (stretch)   2.3.4+ds-1~nd80+1+nd90+1 i386, amd64
Debian unstable (sid) 2.2+ds-1.1 2.3.4+ds-1~nd+1 i386, amd64
Ubuntu 14.04 “Trusty Tahr” (trusty) 2.2+ds-1 2.3.4+ds-1~nd14.04+1 i386, amd64
Ubuntu 16.04 “Xenial Xerus” (xenial) 2.2+ds-1.1    
Ubuntu 16.10 “Yakkety Yak” (yakkety) 2.2+ds-1.1    
Ubuntu 17.04 “Zesty Zapus” (zesty) 2.2+ds-1.1    

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