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
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Adam J. Stewart

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var/spack/repos/builtin/packages/r-adegenet/package.py
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var/spack/repos/builtin/packages/r-adegenet/package.py
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##############################################################################
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# Copyright (c) 2013-2016, 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 LICENSE file 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 RAdegenet(RPackage):
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"""Toolset for the exploration of genetic and genomic data. Adegenet
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provides formal (S4) classes for storing and handling various genetic
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data, including genetic markers with varying ploidy and hierarchical
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population structure ('genind' class), alleles counts by populations
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('genpop'), and genome-wide SNP data ('genlight'). It also implements
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original multivariate methods (DAPC, sPCA), graphics, statistical tests,
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simulation tools, distance and similarity measures, and several spatial
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methods. A range of both empirical and simulated datasets is also provided
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to illustrate various methods."""
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homepage = "https://github.com/thibautjombart/adegenet/wiki"
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url = "https://cran.r-project.org/src/contrib/adegenet_2.0.1.tar.gz"
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list_url = "https://cran.r-project.org/src/contrib/Archive/adegenet"
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version('2.0.1', 'ecb1220ce7c9affaba2987bc7f38adda')
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depends_on('r@2.14:')
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depends_on('r-ade4', type=('build', 'run'))
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depends_on('r-igraph', type=('build', 'run'))
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depends_on('r-ape', type=('build', 'run'))
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depends_on('r-shiny', type=('build', 'run'))
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depends_on('r-ggplot2', type=('build', 'run'))
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depends_on('r-seqinr', type=('build', 'run'))
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depends_on('r-spdep', type=('build', 'run'))
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depends_on('r-reshape2', type=('build', 'run'))
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depends_on('r-dplyr@0.4.1:', type=('build', 'run'))
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depends_on('r-vegan', type=('build', 'run'))
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