_            _    _        _         _
      /\ \         /\ \ /\ \     /\_\      / /\
      \_\ \       /  \ \\ \ \   / / /     / /  \
      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
 / / /      / / /___/ / /     \ \ \ /_/\__/ / /
/_/ /      / / /____\/ /       \ \_\\ \/___/ /
\_\/       \/_________/         \/_/ \_____\/
python-dynesty 2.1.5
Propagated dependencies: python-h5py@3.13.0 python-matplotlib@3.8.2 python-numpy@1.26.4 python-scipy@1.12.0 python-tqdm@4.67.1
Channel: guix
Location: gnu/packages/statistics.scm (gnu packages statistics)
Home page: https://github.com/joshspeagle/dynesty
Licenses: Expat
Synopsis: Dynamic nested sampling computing Bayesian posteriors and evidences
Description:

This package implements a Dynamic Nested Sampling for computing Bayesian posteriors and evidences.

Total results: 1