New package r-tmixclust (#7658)
* r-tmixclust: new package * r-cluster: hash changed * r-cluster: removed 2.0.6 and added the latest 2.0.7-1
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@ -34,6 +34,6 @@ class RCluster(RPackage):
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url = "https://cran.rstudio.com/src/contrib/cluster_2.0.6.tar.gz"
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list_url = "https://cran.r-project.org/src/contrib/Archive/cluster"
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version('2.0.6', 'e7d0660b05c65f4d886ebf7f046939ab')
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version('2.0.7-1', 'a37add21b91d3e4f3883d005331e0d45')
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version('2.0.5', '7330f209ebce960bdee1a6d6679cb85a')
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version('2.0.4', 'bb4deceaafb1c42bb1278d5d0dc11e59')
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49
var/spack/repos/builtin/packages/r-tmixclust/package.py
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49
var/spack/repos/builtin/packages/r-tmixclust/package.py
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@ -0,0 +1,49 @@
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##############################################################################
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# Copyright (c) 2013-2018, 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/spack/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 RTmixclust(RPackage):
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"""Implementation of a clustering method for time series gene expression
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data based on mixed-effects models with Gaussian variables and
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non-parametric cubic splines estimation. The method can robustly account
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for the high levels of noise present in typical gene expression time
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series datasets."""
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homepage = "https://bioconductor.org/packages/TMixClust/"
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url = "https://git.bioconductor.org/packages/TMixClust"
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version('1.0.1', git='https://git.bioconductor.org/packages/TMixClust',
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commit='0ac800210e3eb9da911767a80fb5582ab33c0cad')
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depends_on('r-gss', type=('build', 'run'))
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depends_on('r-mvtnorm', type=('build', 'run'))
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depends_on('r-zoo', type=('build', 'run'))
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depends_on('r-cluster', type=('build', 'run'))
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depends_on('r-biocparallel', type=('build', 'run'))
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depends_on('r-flexclust', type=('build', 'run'))
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depends_on('r-biobase', type=('build', 'run'))
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depends_on('r-spem', type=('build', 'run'))
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depends_on('r@3.4.3:3.4.9', when='@1.0.1')
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