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.
| 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 |
