How to Install and Uninstall r-bioc-glmgampoi Package on Kali Linux

Last updated: May 09,2024

1. Install "r-bioc-glmgampoi" package

Please follow the step by step instructions below to install r-bioc-glmgampoi on Kali Linux


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                r-bioc-glmgampoi
            
                    
    
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2. Uninstall "r-bioc-glmgampoi" package

Learn how to uninstall r-bioc-glmgampoi on Kali Linux:


    
        
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                sudo apt remove
            
                        
                r-bioc-glmgampoi
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the r-bioc-glmgampoi package on Kali Linux

Package: r-bioc-glmgampoi
Version: 1.14.3+dfsg-1
Installed-Size: 2333
Maintainer: Debian R Packages Maintainers
Architecture: amd64
Depends: r-api-4.0, r-api-bioc-3.18, r-cran-rcpp, r-bioc-delayedmatrixstats, r-cran-matrixstats, r-bioc-matrixgenerics, r-bioc-delayedarray, r-bioc-hdf5array, r-bioc-summarizedexperiment, r-bioc-singlecellexperiment, r-bioc-biocgenerics, r-cran-rlang, r-cran-vctrs, r-cran-rcpparmadillo, r-bioc-beachmat, libblas3 | libblas.so.3, libc6 (>= 2.29), libgcc-s1 (>= 3.0), liblapack3 | liblapack.so.3, libstdc++6 (>= 13.1)
Suggests: r-cran-testthat (>= 2.1.0), r-cran-zoo, r-bioc-deseq2, 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, r-bioc-scran, r-cran-matrix, r-cran-dplyr
Size: 1254900
SHA256: ecb6c6904e632aaeebb046844cea9417fd22f4d906b67615964ca990593d1ae7
SHA1: bb991b8568d6e0d859d224f0340f008256265bc3
MD5sum: 1f432ce51b0b5b5ab8b92b3c1fa3be8e
Description: 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:
Homepage: https://bioconductor.org/packages/glmGamPoi/
Section: gnu-r
Priority: optional
Filename: pool/main/r/r-bioc-glmgampoi/r-bioc-glmgampoi_1.14.3+dfsg-1_amd64.deb