Package : python-pymc > RPM : python-pymc-2.3.6-1.mga6.src.rpm
Basic items
| Name | python-pymc |
| Version | 2.3.6 |
| Release | 1.mga6 |
| URL | https://github.com/pymc-devs/pymc |
| Group | Sciences/Mathematics |
| Summary | Markov Chain Monte Carlo sampling toolkit |
| Size | 13MB |
| Arch | i586 |
| License | AFL |
Description
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.
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.
Media information
| Distribution release | Mageia 6 |
| Media name | core-release |
| Media arch | i586 |
Advanced items
| Source RPM | NOT IN DATABASE ?! |
| Build time | 2016-12-17 13:22:42 |
| Changelog | View in Sophie |
| Files | View in Sophie |
| Dependencies | View in Sophie |