41 lines
1.9 KiB
Python
41 lines
1.9 KiB
Python
##############################################################################
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# Copyright (c) 2013-2017, Lawrence Livermore National Security, LLC.
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# Produced at the Lawrence Livermore National Laboratory.
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#
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# This file is part of Spack.
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# Created by Todd Gamblin, tgamblin@llnl.gov, All rights reserved.
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# LLNL-CODE-647188
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#
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# For details, see https://github.com/llnl/spack
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# Please also see the NOTICE and LICENSE files for our notice and the LGPL.
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#
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# This program is free software; you can redistribute it and/or modify
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# it under the terms of the GNU Lesser General Public License (as
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# published by the Free Software Foundation) version 2.1, February 1999.
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#
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# This program is distributed in the hope that it will be useful, but
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# WITHOUT ANY WARRANTY; without even the IMPLIED WARRANTY OF
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the terms and
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# conditions of the GNU Lesser General Public License for more details.
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#
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# You should have received a copy of the GNU Lesser General Public
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# License along with this program; if not, write to the Free Software
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# Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
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##############################################################################
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from spack import *
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class RLearnbayes(RPackage):
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"""LearnBayes contains a collection of functions helpful in learning the
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basic tenets of Bayesian statistical inference. It contains functions for
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summarizing basic one and two parameter posterior distributions and
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predictive distributions. It contains MCMC algorithms for summarizing
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posterior distributions defined by the user. It also contains functions
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for regression models, hierarchical models, Bayesian tests, and
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illustrations of Gibbs sampling."""
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homepage = "https://CRAN.R-project.org/package=LearnBayes"
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url = "https://cran.r-project.org/src/contrib/LearnBayes_2.15.tar.gz"
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version('2.15', '213713664707bc79fd6d3a109555ef76')
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