New package: r-mcmcpack (#23139)

var/spack/repos/builtin/packages/r-mcmcpack/package.py

@@ -0,0 +1,30 @@
+# 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'))