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-rw-r--r--var/spack/repos/builtin/packages/r-mcmcpack/package.py30
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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'))