How to Install and Uninstall r-bioc-glmgampoi Package on Ubuntu 21.10 (Impish Indri)

Last updated: May 09,2024

1. Install "r-bioc-glmgampoi" package

Learn how to install r-bioc-glmgampoi on Ubuntu 21.10 (Impish Indri)

$ sudo apt update $ sudo apt install r-bioc-glmgampoi

2. Uninstall "r-bioc-glmgampoi" package

Please follow the step by step instructions below to uninstall r-bioc-glmgampoi on Ubuntu 21.10 (Impish Indri):

$ sudo apt remove r-bioc-glmgampoi $ sudo apt autoclean && sudo apt autoremove

3. Information about the r-bioc-glmgampoi package on Ubuntu 21.10 (Impish Indri)

Package: r-bioc-glmgampoi
Architecture: amd64
Version: 1.2.0+dfsg-6
Priority: optional
Section: universe/gnu-r
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian R Packages Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 857
Depends: r-base-core (>= 4.0.3-1), r-api-4.0, r-api-bioc-3.12, r-cran-rcpp, r-bioc-delayedmatrixstats, r-cran-matrixstats, r-bioc-delayedarray, r-bioc-hdf5array, r-bioc-summarizedexperiment, r-cran-rcpparmadillo, r-bioc-beachmat, libblas3 | libblas.so.3, libc6 (>= 2.29), libgcc-s1 (>= 3.0), liblapack3 | liblapack.so.3, libstdc++6 (>= 9)
Recommends: r-cran-testthat (>= 2.1.0), r-bioc-scran, r-bioc-deseq2, r-cran-zoo
Suggests: r-bioc-edger, r-bioc-limma, r-cran-mass, r-cran-statmod, r-cran-ggplot2, r-cran-bench, r-bioc-biocparallel, r-cran-knitr, r-cran-rmarkdown, r-bioc-biocstyle
Filename: pool/universe/r/r-bioc-glmgampoi/r-bioc-glmgampoi_1.2.0+dfsg-6_amd64.deb
Size: 362832
MD5sum: 6e0bbaf0e565a2153f3c224477522d4a
SHA1: e16c75fa497a9ff22e03c3ff5ab4e0099fed2e22
SHA256: 6dbbb07df5586a6b6c573f84c029006e46dc9794ace2ac8ff4ff044700288fbd
SHA512: c06a02a929a0f3b22da09eab956b294e167e0468132162b4bb0a6740d23dedaf80ffb3547664ce34af6b63ee2c1135e5dfdbadeccfe2e1d9d25192a357f6c0f1
Homepage: https://bioconductor.org/packages/glmGamPoi/
Description-en: GNU R fit a Gamma-Poisson generalized linear model
Fit linear models to overdispersed count data.
The package can estimate the overdispersion and fit repeated models
for matrix input. It is designed to handle large input datasets as they
typically occur in single cell RNA-seq experiments.
Description-md5: 78420a4dba0e5a84470e940e49a761a9