How to Install and Uninstall r-cran-fdrtool Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: November 26,2024

1. Install "r-cran-fdrtool" package

Please follow the guidance below to install r-cran-fdrtool on Ubuntu 20.10 (Groovy Gorilla)


    
        
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                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                r-cran-fdrtool
            
                    
    
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2. Uninstall "r-cran-fdrtool" package

Please follow the step by step instructions below to uninstall r-cran-fdrtool on Ubuntu 20.10 (Groovy Gorilla):


    
        
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                sudo apt remove
            
                        
                r-cran-fdrtool
            
                    
    
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            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the r-cran-fdrtool package on Ubuntu 20.10 (Groovy Gorilla)

Package: r-cran-fdrtool
Architecture: amd64
Version: 1.2.15-1build1
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: 186
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0
Filename: pool/universe/r/r-cran-fdrtool/r-cran-fdrtool_1.2.15-1build1_amd64.deb
Size: 138212
MD5sum: 709c0f4b836712ea78bac2665ee7930f
SHA1: 7b48d14f1f78bc09fcafe3931c7a8d251bd1fafe
SHA256: 9e793cb828800dfb873375e43f3b96b18a5c3b76485a11588c4871820a4b2ee1
SHA512: bae637847f84c8b3acd12a94d68debaf74866688f48aeb4e6e0cfe2d8c8023b678af0ab994dea6f5dafeecbf92316f3fa1f1ae96debdd047f7584868f3e11700
Homepage: https://cran.r-project.org/package=fdrtool
Description-en: GNU R estimation of false discovery dates and higher criticism
Estimates both tail area-based false discovery rates (Fdr) as well as
local false discovery rates (fdr) for a variety of null models (p-values,
z-scores, correlation coefficients, t-scores). The proportion of
null values and the parameters of the null distribution are adaptively
estimated from the data. In addition, the package contains functions for
non-parametric density estimation (Grenander estimator), for monotone
regression (isotonic regression and antitonic regression with weights),
for computing the greatest convex minorant (GCM) and the least concave
majorant (LCM), for the half-normal and correlation distributions, and
for computing empirical higher criticism (HC) scores and the
corresponding decision threshold.
Description-md5: b4146e0cbe03f165ad07991a8de5ffb4