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

Last updated: May 06,2024

1. Install "r-bioc-ihw" package

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


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

Here is a brief guide to show you how to uninstall r-bioc-ihw on Ubuntu 21.10 (Impish Indri):


    
        
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                sudo apt remove
            
                        
                r-bioc-ihw
            
                    
    
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            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the r-bioc-ihw package on Ubuntu 21.10 (Impish Indri)

Package: r-bioc-ihw
Architecture: all
Version: 1.18.0+dfsg-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: 346
Depends: r-base-core (>= 4.0.2-1build1), r-api-4.0, r-api-bioc-3.12, r-cran-slam, r-bioc-lpsymphony, r-cran-fdrtool, r-bioc-biocgenerics
Recommends: r-cran-testthat, r-cran-ggplot2, r-cran-scales
Suggests: r-cran-dplyr, r-cran-gridextra, r-bioc-deseq2, r-cran-matrix, r-bioc-biocstyle, r-cran-knitr, r-cran-rmarkdown, r-cran-devtools
Filename: pool/universe/r/r-bioc-ihw/r-bioc-ihw_1.18.0+dfsg-1_all.deb
Size: 244992
MD5sum: 3d2fea8538376f795b7549600c9d2917
SHA1: 54f1fbbbb6da50ce7dfe8bf2407cef66dcf7dded
SHA256: 6cfdba9cbea4786b06480de120b5c7b636add215368b485fcd689e6f4f79dfad
SHA512: 99309f43b763dab7829ae03a0deb194c99db2df6ccaa49013cfaf1b983fdf3435268f0a806d0e01c943dc9d3ed4b1a907d0df087f84d0438ea10d3debb24eeda
Homepage: https://bioconductor.org/packages/IHW/
Description-en: GNU R independent hypothesis weighting
Independent hypothesis weighting (IHW) is a multiple testing procedure
that increases power compared to the method of Benjamini and Hochberg by
assigning data-driven weights to each hypothesis. The input to IHW is a
two-column table of p-values and covariates. The covariate can be any
continuous-valued or categorical variable that is thought to be
informative on the statistical properties of each hypothesis test, while
it is independent of the p-value under the null hypothesis.
Description-md5: e4005f10a90f6b670f0dd79018f4c723