_            _    _        _         _
      /\ \         /\ \ /\ \     /\_\      / /\
      \_\ \       /  \ \\ \ \   / / /     / /  \
      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
 / / /      / / /___/ / /     \ \ \ /_/\__/ / /
/_/ /      / / /____\/ /       \ \_\\ \/___/ /
\_\/       \/_________/         \/_/ \_____\/
python-pymc 5.21.0
Propagated dependencies: python-arviz@0.21.0 python-cachetools@6.1.0 python-cloudpickle@3.1.0 python-numpy@1.26.4 python-pandas@2.2.3 python-pytensor@2.28.3 python-rich@13.7.1 python-scipy@1.12.0 python-threadpoolctl@3.1.0 python-typing-extensions@4.15.0
Channel: guix
Location: gnu/packages/statistics.scm (gnu packages statistics)
Home page: https://github.com/pymc-devs/pymc
Licenses: ASL 2.0
Build system: pyproject
Synopsis: Library for probabilistic programming in Python
Description:

PyMC (formerly PyMC3) is a Python package for Bayesian statistical modeling focusing on advanced Markov chain Monte Carlo (MCMC) and variational inference (VI) algorithms.

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