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

Last updated: May 20,2024

1. Install "r-bioc-dirichletmultinomial" package

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


    
        
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                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 instructions below to uninstall r-bioc-dirichletmultinomial on Ubuntu 21.10 (Impish Indri):


    
        
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                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 Ubuntu 21.10 (Impish Indri)

Package: r-bioc-dirichletmultinomial
Architecture: amd64
Version: 1.32.0-1
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: 834
Depends: r-base-core (>= 4.0.2-1build1), r-api-4.0, r-api-bioc-3.12, r-bioc-s4vectors, r-bioc-iranges, r-bioc-biocgenerics, libc6 (>= 2.29), libgsl25 (>= 2.6)
Suggests: r-cran-lattice, r-cran-mass, r-cran-rcolorbrewer, r-cran-xtable
Filename: pool/universe/r/r-bioc-dirichletmultinomial/r-bioc-dirichletmultinomial_1.32.0-1_amd64.deb
Size: 645240
MD5sum: af825c04ea1f6480d2856aa909fe0602
SHA1: e44c7efd037b188b971b3032be5c71506435c7d2
SHA256: 29cb3df6e1cc04a819efab3413c044c32bb8edd3f4417202190e60dd88cd0f82
SHA512: 244c15b4613936e7a0f9b86ec43ef697c8f5a66704e4cb9ec3f08d75844dd695b8f7ef52382784a396cc9203f61e542caa1b637197fd82e76407109893cdf5cf
Homepage: https://bioconductor.org/packages/DirichletMultinomial/
Description-en: 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: 2bfdbf12336f3c4e83cdb75ffee4d571