36 lines
1.6 KiB
Python
36 lines
1.6 KiB
Python
# Copyright 2013-2024 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.package import *
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class RDirichletmultinomial(RPackage):
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"""Dirichlet-Multinomial Mixture Model Machine Learning for Microbiome
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Data.
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Dirichlet-multinomial mixture models can be used to describe variability
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in microbial metagenomic data. This package is an interface to code
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originally made available by Holmes, Harris, and Quince, 2012, PLoS ONE
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7(2): 1-15, as discussed further in the man page for this package,
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?DirichletMultinomial."""
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bioc = "DirichletMultinomial"
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version("1.42.0", commit="c388536bed4bdc57724b704edec04b28acbf48db")
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version("1.40.0", commit="200176f8c72ff127788c500629b71872bc6b1f83")
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version("1.38.0", commit="b4de83d354e974fdb7cb3526d029487f24aab670")
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version("1.36.0", commit="926baff6c75cb498945c5895f25cc143c907a357")
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version("1.32.0", commit="6949abab2462b2c09f7a0ca5b5cbf0c95a40ad16")
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version("1.26.0", commit="7daa84948020811bb8a27d2e633fccfdcdd1018f")
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version("1.24.1", commit="50195d9b1986852da29100e77f6f09df5d6e2a35")
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version("1.22.0", commit="5864f4298105d12f345f27df77ad13bae4061ca5")
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version("1.20.0", commit="251529f301da1482551142240aeb6baf8dab2272")
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version("1.18.0", commit="81ccc8d83b8ef84f5d3e877bc0a04233a0f63c51")
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depends_on("r-s4vectors", type=("build", "run"))
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depends_on("r-iranges", type=("build", "run"))
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depends_on("r-biocgenerics", type=("build", "run"))
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depends_on("gsl")
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