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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