How to Install and Uninstall r-bioc-dirichletmultinomial Package on Kali Linux
Last updated: November 26,2024
1. Install "r-bioc-dirichletmultinomial" package
Please follow the step by step instructions below to install r-bioc-dirichletmultinomial on Kali Linux
$
sudo apt update
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$
sudo apt install
r-bioc-dirichletmultinomial
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2. Uninstall "r-bioc-dirichletmultinomial" package
Please follow the steps below to uninstall r-bioc-dirichletmultinomial on Kali Linux:
$
sudo apt remove
r-bioc-dirichletmultinomial
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$
sudo apt autoclean && sudo apt autoremove
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3. Information about the r-bioc-dirichletmultinomial package on Kali Linux
Package: r-bioc-dirichletmultinomial
Version: 1.44.0-1
Installed-Size: 803
Maintainer: Debian R Packages Maintainers
Architecture: amd64
Depends: r-api-4.0, r-api-bioc-3.18, r-bioc-s4vectors, r-bioc-iranges, r-bioc-biocgenerics, libc6 (>= 2.29), libgsl27 (>= 2.7.1)
Suggests: r-cran-lattice, r-cran-mass, r-cran-rcolorbrewer, r-cran-xtable
Size: 614612
SHA256: 723475688408e7b25f9ab3d5f1ea12f97951895d2b0df77f12d64f904fb1a336
SHA1: 22a5fdc44050d1ff195a7c39206eb176234c109b
MD5sum: 66835d6bb02b74b772a64d3b71328748
Description: 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originally made available by Holmes, Harris, and Quince, 2012, PLoS ONE.
Description-md5:
Homepage: https://bioconductor.org/packages/DirichletMultinomial/
Section: gnu-r
Priority: optional
Filename: pool/main/r/r-bioc-dirichletmultinomial/r-bioc-dirichletmultinomial_1.44.0-1_amd64.deb
Version: 1.44.0-1
Installed-Size: 803
Maintainer: Debian R Packages Maintainers
Architecture: amd64
Depends: r-api-4.0, r-api-bioc-3.18, r-bioc-s4vectors, r-bioc-iranges, r-bioc-biocgenerics, libc6 (>= 2.29), libgsl27 (>= 2.7.1)
Suggests: r-cran-lattice, r-cran-mass, r-cran-rcolorbrewer, r-cran-xtable
Size: 614612
SHA256: 723475688408e7b25f9ab3d5f1ea12f97951895d2b0df77f12d64f904fb1a336
SHA1: 22a5fdc44050d1ff195a7c39206eb176234c109b
MD5sum: 66835d6bb02b74b772a64d3b71328748
Description: 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.
Description-md5:
Homepage: https://bioconductor.org/packages/DirichletMultinomial/
Section: gnu-r
Priority: optional
Filename: pool/main/r/r-bioc-dirichletmultinomial/r-bioc-dirichletmultinomial_1.44.0-1_amd64.deb