r-mcmc: new package (#23106)

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

@@ -0,0 +1,25 @@
+# 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 RMcmc(RPackage):
+    """Markov Chain Monte Carlo:
+
+    Simulates continuous distributions of random vectors using Markov chain
+    Monte Carlo (MCMC). Users specify the distribution by an R function that
+    evaluates the log unnormalized density. Algorithms are random walk
+    Metropolis algorithm (function metrop), simulated tempering (function
+    temper), and morphometric random walk Metropolis (Johnson and Geyer, 2012,
+    <doi:10.1214/12-AOS1048>, function morph.metrop), which achieves geometric
+    ergodicity by change of variable."""
+
+    homepage = "http://www.stat.umn.edu/geyer/mcmc/"
+    cran     = "mcmc"
+
+    version('0.9-7', sha256='b7c4d3d5f9364c67a4a3cd49296a61c315ad9bd49324a22deccbacb314aa8260')
+
+    depends_on('r@3.0.2:', type=('build', 'run'))