26 lines
998 B
Python
26 lines
998 B
Python
# Copyright 2013-2021 Lawrence Livermore National Security, LLC and other
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# Spack Project Developers. See the top-level COPYRIGHT file for details.
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#
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# SPDX-License-Identifier: (Apache-2.0 OR MIT)
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from spack import *
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class RMcmc(RPackage):
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"""Markov Chain Monte Carlo:
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Simulates continuous distributions of random vectors using Markov chain
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Monte Carlo (MCMC). Users specify the distribution by an R function that
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evaluates the log unnormalized density. Algorithms are random walk
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Metropolis algorithm (function metrop), simulated tempering (function
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temper), and morphometric random walk Metropolis (Johnson and Geyer, 2012,
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<doi:10.1214/12-AOS1048>, function morph.metrop), which achieves geometric
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ergodicity by change of variable."""
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homepage = "http://www.stat.umn.edu/geyer/mcmc/"
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cran = "mcmc"
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version('0.9-7', sha256='b7c4d3d5f9364c67a4a3cd49296a61c315ad9bd49324a22deccbacb314aa8260')
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depends_on('r@3.0.2:', type=('build', 'run'))
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