From 2b3efb40caba45df7eae12e006ff71e9e27e7e77 Mon Sep 17 00:00:00 2001 From: Glenn Johnson Date: Tue, 20 Apr 2021 04:14:18 -0500 Subject: r-mcmc: new package (#23106) --- var/spack/repos/builtin/packages/r-mcmc/package.py | 25 ++++++++++++++++++++++ 1 file changed, 25 insertions(+) create mode 100644 var/spack/repos/builtin/packages/r-mcmc/package.py (limited to 'var') diff --git a/var/spack/repos/builtin/packages/r-mcmc/package.py b/var/spack/repos/builtin/packages/r-mcmc/package.py new file mode 100644 index 0000000000..5e634290fe --- /dev/null +++ b/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, + , 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')) -- cgit v1.2.3-60-g2f50