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 01:12:23 2025 |
| md5 checksum | e58570d29550dcc99aa76c6f7cd60dd8 |
| arch | x86_64 |
| build | py311ha39b09d_0 |
| depends | arviz >=0.13.0, cachetools >=4.2.1, cloudpickle, libgcc-ng >=11.2.0, libgfortran-ng, libgfortran5 >=11.2.0, numpy >=1.15.0,<2.0a0, pandas >=0.24.0, pytensor >=2.23,<2.24, python >=3.11,<3.12.0a0, rich >=13.7.1, scipy >=1.4.1,<1.13, threadpoolctl >=3.1.0,<4.0.0, typing-extensions >=3.7.4 |
| license | Apache-2.0 AND MIT |
| license_family | OTHER |
| md5 | e58570d29550dcc99aa76c6f7cd60dd8 |
| name | pymc |
| platform | linux |
| sha1 | 4397669aad6d412536fc98fd345aa917c927e5d2 |
| sha256 | 02c3c3f51611b2bb72bef298abbe31233ec156c7e3654b21559e179f16286dbc |
| size | 1105896 |
| subdir | linux-64 |
| timestamp | 1721165801570 |
| version | 5.16.1 |