31 lines
1.3 KiB
Python
31 lines
1.3 KiB
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 RMcmcpack(RPackage):
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"""Markov Chain Monte Carlo (MCMC) Package:
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Contains functions to perform Bayesian inference using posterior simulation
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for a number of statistical models. Most simulation is done in compiled C++
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written in the Scythe Statistical Library Version 1.0.3. All models return
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'coda' mcmc objects that can then be summarized using the 'coda' package.
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Some useful utility functions such as density functions, pseudo-random
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number generators for statistical distributions, a general purpose
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Metropolis sampling algorithm, and tools for visualization are provided."""
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homepage = "https://cran.r-project.org/package=MCMCpack"
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cran = "MCMCpack"
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version('1.5-0', sha256='795ffd3d62bf14d3ecb3f5307bd329cd75798cf4b270ff0e768bc71a35de0ace')
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depends_on('r@3.6:', type=('build', 'run'))
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depends_on('r-coda@0.11-3:', type=('build', 'run'))
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depends_on('r-mass', type=('build', 'run'))
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depends_on('r-lattice', type=('build', 'run'))
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depends_on('r-mcmc', type=('build', 'run'))
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depends_on('r-quantreg', type=('build', 'run'))
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