Pakket: r-bioc-dirichletmultinomial (1.40.0-1)

[ Bron: r-bioc-dirichletmultinomial  ]

Dirichlet-Multinomial Mixture Model Machine Learning for Microbiome Data

Dirichlet-multinomial mixture models can be used to describe variability in microbial metagenomic data. This package is an interface to code originally made available by Holmes, Harris, and Quince, 2012, PLoS ONE.

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• dep: libc6 (>= 2.29)

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  Ook een virtueel pakket geboden door: libc6-udeb

• dep: libgsl27 (>= 2.7.1)

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• dep: r-api-4.0

  virtueel pakket geboden door r-base-core

• dep: r-api-bioc-3.16

  virtueel pakket geboden door r-bioc-biocgenerics

• dep: r-base-core (>= 4.2.2.20221110-1)

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• dep: r-bioc-biocgenerics

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• dep: r-bioc-iranges

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• dep: r-bioc-s4vectors

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• sug: r-cran-lattice

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• sug: r-cran-mass

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• sug: r-cran-rcolorbrewer

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amd64	585,6 kB	788,0 kB	[overzicht]
arm64	584,4 kB	824,0 kB	[overzicht]
armel	585,9 kB	823,0 kB	[overzicht]
armhf	583,7 kB	823,0 kB	[overzicht]
i386	560,3 kB	753,0 kB	[overzicht]
mips64el	584,5 kB	824,0 kB	[overzicht]
mipsel	584,6 kB	823,0 kB	[overzicht]
ppc64el	586,6 kB	824,0 kB	[overzicht]
s390x	584,9 kB	784,0 kB	[overzicht]