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 | 64f229228c42d1c323ed9711f2aaba25 |
| arch | x86_64 |
| build | py312ha39b09d_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 >=3.12,<3.13.0a0, 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 | 64f229228c42d1c323ed9711f2aaba25 |
| name | pymc |
| platform | linux |
| sha1 | b39f3c2ee8011bc8d6b530affea95cdcd6b5f69a |
| sha256 | 55b33217296c1f38c875c527277cf07dc5a1e1e310e008c4cb4273c4eb2aaa2a |
| size | 1080880 |
| subdir | linux-64 |
| timestamp | 1721165868318 |
| version | 5.16.1 |