py311-emcee
3.1.6Python ensemble sampling toolkit for MCMC
emcee is an MIT licensed pure-Python implementation of Goodman & Weare's Affine Invariant Markov chain Monte Carlo (MCMC) Ensemble sampler and these pages will show you how to use it.
Origin: math/py-emcee
Category: math
Size: 513KiB
License: MIT, LGPL21
Maintainer: yuri@FreeBSD.org
Dependencies: 2 packages
Required by: 1 packages
Website: emcee.readthedocs.io/en/stable
$
pkg install py311-emceeDependencies (2)
Required By (1 packages)
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py311-numpy1.26.4_11,1
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Language for statistical computing and graphicsgmp6.3.0
Free library for arbitrary precision arithmeticopenblas0.3.30,2
Optimized BLAS library based on GotoBLAS2fftw33.3.10_5
Fast C routines to compute the Discrete Fourier Transformpy311-matplotlib3.8.0_2
Plotting library uses a syntax familiar to MATLAB userspy311-pandas2.3.3,1
Flexible, high-performance data analysis in Pythonmpfr4.2.2,1
Library for multiple-precision floating-point computationsoctave10.3.0_2
High-level interactive language for numerical computationsoctave-forge-base1.9_1
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