Pakket: r-bioc-dirichletmultinomial (1.46.0-1)

[ 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 This package is an interface to code originally made available by Holmes, Harris, and Quince, 2012, PLoS ONE.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 (>= 2.27) [riscv64]

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  dep: libc6 (>= 2.29) [niet riscv64]

• dep: libgsl28 (>= 2.8+dfsg)

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• dep: r-api-4.0

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• dep: r-api-bioc-3.19

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• dep: r-bioc-biocgenerics (>= 0.50.0)

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• dep: r-bioc-iranges (>= 2.38.1)

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• dep: r-bioc-s4vectors (>= 0.42.1)

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• sug: r-cran-lattice

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Platform	Pakketgrootte	Geïnstalleerde grootte	Bestanden
amd64	602,4 kB	805,0 kB	[overzicht]
arm64	601,1 kB	841,0 kB	[overzicht]
mips64el	601,3 kB	841,0 kB	[overzicht]
ppc64el	603,0 kB	841,0 kB	[overzicht]
riscv64	600,8 kB	793,0 kB	[overzicht]
s390x	603,5 kB	805,0 kB	[overzicht]