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New package: r-mcmcpack (#23139)

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Glenn Johnson 2021-04-20 13:17:49 -05:00 committed by GitHub
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# Copyright 2013-2021 Lawrence Livermore National Security, LLC and other
# Spack Project Developers. See the top-level COPYRIGHT file for details.
#
# SPDX-License-Identifier: (Apache-2.0 OR MIT)
from spack import *
class RMcmcpack(RPackage):
"""Markov Chain Monte Carlo (MCMC) Package:
Contains functions to perform Bayesian inference using posterior simulation
for a number of statistical models. Most simulation is done in compiled C++
written in the Scythe Statistical Library Version 1.0.3. All models return
'coda' mcmc objects that can then be summarized using the 'coda' package.
Some useful utility functions such as density functions, pseudo-random
number generators for statistical distributions, a general purpose
Metropolis sampling algorithm, and tools for visualization are provided."""
homepage = "https://cran.r-project.org/package=MCMCpack"
cran = "MCMCpack"
version('1.5-0', sha256='795ffd3d62bf14d3ecb3f5307bd329cd75798cf4b270ff0e768bc71a35de0ace')
depends_on('r@3.6:', type=('build', 'run'))
depends_on('r-coda@0.11-3:', type=('build', 'run'))
depends_on('r-mass', type=('build', 'run'))
depends_on('r-lattice', type=('build', 'run'))
depends_on('r-mcmc', type=('build', 'run'))
depends_on('r-quantreg', type=('build', 'run'))