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.
| Uploaded | Mon Mar 31 01:12:24 2025 |
| md5 checksum | aed252b45a2d64a4ef167fb0360b6f02 |
| arch | x86_64 |
| build | py310ha39b09d_0 |
| depends | arviz >=0.13.0, cachetools >=4.2.1, cloudpickle, fastprogress >=0.2.0, libgcc-ng >=11.2.0, libgfortran-ng, libgfortran5 >=11.2.0, numpy >=1.15.0,<2.0a0, pandas >=0.24.0, pytensor >=2.12.0,<2.13, python >=3.10,<3.11.0a0, scipy >=1.4.1, typing-extensions >=3.7.4 |
| license | Apache-2.0 |
| license_family | Apache |
| md5 | aed252b45a2d64a4ef167fb0360b6f02 |
| name | pymc |
| platform | linux |
| sha1 | 741d70cc37e02773a2730951f58dbc58a043d614 |
| sha256 | 497ce2bb7471149eeca12dffb3ab055eca6b6b37e40c99d97307f42a462e9006 |
| size | 642940 |
| subdir | linux-64 |
| timestamp | 1690886327984 |
| version | 5.6.1 |