Packages/r adegenet (#4354)

* Add mpi support to R

* Add multiple precision math routines to R

* Updated the URL to match the version

* Remove duplicate packages

* Add packages for r-ergm and it's dependents

* Fixed depends-on types

* Correct flake8 errors

* Correct Build type

* r-adegenet and dependent packages

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

@@ -0,0 +1,41 @@
+##############################################################################
+# Copyright (c) 2013-2016, Lawrence Livermore National Security, LLC.
+# Produced at the Lawrence Livermore National Laboratory.
+#
+# This file is part of Spack.
+# Created by Todd Gamblin, tgamblin@llnl.gov, All rights reserved.
+# LLNL-CODE-647188
+#
+# For details, see https://github.com/llnl/spack
+# Please also see the LICENSE file for our notice and the LGPL.
+#
+# This program is free software; you can redistribute it and/or modify
+# it under the terms of the GNU Lesser General Public License (as
+# published by the Free Software Foundation) version 2.1, February 1999.
+#
+# This program is distributed in the hope that it will be useful, but
+# WITHOUT ANY WARRANTY; without even the IMPLIED WARRANTY OF
+# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the terms and
+# conditions of the GNU Lesser General Public License for more details.
+#
+# You should have received a copy of the GNU Lesser General Public
+# License along with this program; if not, write to the Free Software
+# Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
+##############################################################################
+from spack import *
+
+
+class RLearnbayes(RPackage):
+    """LearnBayes contains a collection of functions helpful in learning the
+    basic tenets of Bayesian statistical inference. It contains functions for
+    summarizing basic one and two parameter posterior distributions and
+    predictive distributions. It contains MCMC algorithms for summarizing
+    posterior distributions defined by the user. It also contains functions
+    for regression models, hierarchical models, Bayesian tests, and
+    illustrations of Gibbs sampling."""
+
+    homepage = "https://CRAN.R-project.org/package=LearnBayes"
+    url      = "https://cran.r-project.org/src/contrib/LearnBayes_2.15.tar.gz"
+    list_url = "https://cran.r-project.org/src/contrib/Archive/LearnBayes"
+
+    version('2.15', '213713664707bc79fd6d3a109555ef76')