30 lines
1.3 KiB
Python
30 lines
1.3 KiB
Python
# Copyright 2013-2019 Lawrence Livermore National Security, LLC and other
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# Spack Project Developers. See the top-level COPYRIGHT file for details.
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#
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# SPDX-License-Identifier: (Apache-2.0 OR MIT)
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from spack import *
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class RPcamethods(RPackage):
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"""Provides Bayesian PCA, Probabilistic PCA, Nipals PCA, Inverse
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Non-Linear PCA and the conventional SVD PCA. A cluster based method for
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missing value estimation is included for comparison. BPCA, PPCA and
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NipalsPCA may be used to perform PCA on incomplete data as well as for
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accurate missing value estimation. A set of methods for printing and
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plotting the results is also provided. All PCA methods make use of the
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same data structure (pcaRes) to provide a common interface to the PCA
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results. Initiated at the Max-Planck Institute for Molecular Plant
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Physiology, Golm, Germany."""
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homepage = "http://bioconductor.org/packages/pcaMethods/"
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git = "https://git.bioconductor.org/packages/pcaMethods.git"
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version('1.68.0', commit='c8d7c93dcaf7ef728f3d089ae5d55771b320bdab')
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depends_on('r-biobase', type=('build', 'run'))
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depends_on('r-biocgenerics', type=('build', 'run'))
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depends_on('r-rcpp', type=('build', 'run'))
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depends_on('r-mass', type=('build', 'run'))
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depends_on('r@3.4.0:3.4.9', when='@1.68.0')
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