python-pymc-doc – Bayesian statistical models and fitting algorithms¶
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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.
This package provides the documentation in HTML format.
Distribution |
Base version |
Our version |
Architectures |
|---|---|---|---|
Debian GNU/Linux 9.0 (stretch) |
2.3.4+ds-1~nd80+1+nd90+1 |
i386, amd64, sparc, armel |
|
Debian unstable (sid) |
2.3.4+ds-1~nd+1 |
i386, amd64, sparc, armel |
|
Ubuntu 16.04 “Xenial Xerus” (xenial) |
2.2+ds-1.1 |