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

Last updated: May 16,2024

1. Install "r-bioc-ihw" package

This guide let you learn how to install r-bioc-ihw on Kali Linux


    
        
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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

Please follow the steps below to uninstall r-bioc-ihw on Kali Linux:


    
        
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                sudo apt remove
            
                        
                r-bioc-ihw
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

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

Package: r-bioc-ihw
Version: 1.30.0+dfsg-1
Installed-Size: 340
Maintainer: Debian R Packages Maintainers
Architecture: all
Depends: r-api-4.0, r-api-bioc-3.18, r-cran-slam, r-bioc-lpsymphony, r-cran-fdrtool, r-bioc-biocgenerics
Suggests: r-cran-ggplot2, r-cran-dplyr, r-cran-gridextra, r-cran-scales, r-bioc-deseq2, r-cran-testthat, r-cran-matrix, r-bioc-biocstyle, r-cran-knitr, r-cran-rmarkdown, r-cran-devtools
Size: 246076
SHA256: b871db783248ab6dc601edff831c73a1e57fd3653536f6dbbca314af8514d14c
SHA1: 4ab07e219b0eb2b79d9e69a648d84eff5dde558b
MD5sum: 9c2c83be42e25b0e96aea301315730d9
Description: 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:
Homepage: https://bioconductor.org/packages/IHW/
Section: gnu-r
Priority: optional
Filename: pool/main/r/r-bioc-ihw/r-bioc-ihw_1.30.0+dfsg-1_all.deb