How to Install and Uninstall r-bioc-dirichletmultinomial Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: May 17,2024

1. Install "r-bioc-dirichletmultinomial" package

This guide let you learn how to install r-bioc-dirichletmultinomial on Ubuntu 20.10 (Groovy Gorilla)


    
        
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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 20.10 (Groovy Gorilla):


    
        
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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 20.10 (Groovy Gorilla)

Package: r-bioc-dirichletmultinomial
Architecture: amd64
Version: 1.30.0-1build1
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 (>= 4.0.0.20200528-1), r-api-4.0, r-api-bioc-3.11, 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_1.30.0-1build1_amd64.deb
Size: 645916
MD5sum: 644b30f9271b874783a7523b2aeeb3ff
SHA1: 9009fe6bf13597c3f2e23cb9a728381af0d12683
SHA256: 91fbb3ffd7d6bd48b1eac7468804dcc7d40b4cb3b640702feb7f157d0e2c8fca
SHA512: 9359a16876e10d3d73e1d7fd2e5c2085f62cf151909aade3c0ad3cc5e605ba5f96bee80020313b16951fce519d32dd120b52d2c51ac8469cbd56eb9cf9a8fca9
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