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 01:12:26 2025 |
md5 checksum | 09aa0bd53f348d401a739c4e109da16a |
arch | x86_64 |
build | py38h13841d7_0 |
depends | blas 1.0 mkl, libgcc-ng >=7.3.0, libgfortran-ng >=7,<8.0a0, mkl >=2019.4,<2021.0a0, mkl-service >=2,<3.0a0, numpy >=1.14.6,<2.0a0, numpy-devel 1.14.*, python >=3.8,<3.9.0a0, scipy |
license | AFL-3.0 |
license_family | OTHER |
md5 | 09aa0bd53f348d401a739c4e109da16a |
name | pymc |
platform | linux |
sha1 | 6baccf35147e038dc7751cf645687990e6d0c1e1 |
sha256 | bf957a86de255bfa6578b1bda87a36ee1c0d70f6ceff26c546c8ccfc836e47b0 |
size | 848174 |
subdir | linux-64 |
timestamp | 1598647514572 |
version | 2.3.8 |