How to Install and Uninstall r-other-curvefdp Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: May 09,2024

1. Install "r-other-curvefdp" package

This tutorial shows how to install r-other-curvefdp on Ubuntu 20.10 (Groovy Gorilla)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                r-other-curvefdp
            
                    
    
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2. Uninstall "r-other-curvefdp" package

This guide covers the steps necessary to uninstall r-other-curvefdp on Ubuntu 20.10 (Groovy Gorilla):


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

Package: r-other-curvefdp
Architecture: all
Version: 2.0-6build1
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: 48
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-mixtools
Filename: pool/universe/r/r-other-curvefdp/r-other-curvefdp_2.0-6build1_all.deb
Size: 17904
MD5sum: f658b17528d239d9f2671eb19aaa1b5e
SHA1: 622fe5afe3da7300b805b58224030531fa6bbf05
SHA256: 8792f9989a6cdd8251f15a0b0e5138ceef550baec88818e8e461cf6043a1138c
SHA512: 797415bff8c988f6b9e1aa6c43667d22303bb02a342f5c652e9981253904b75a18279dd1d692122e7ec06d23f08c9744cb12469f8959c98a32dcbf5e8fb32a7a
Homepage: https://hci.iwr.uni-heidelberg.de/hci/softwares/curvefdp
Description-en: estimation of confidence levels for peptide identifications
This is a GNU R package for the Analytical Chemistry publication
entitled 'Estimating the Confidence of Peptide Identifications without
Decoy Databases'. The function curveFDR(scores) fits a gaussian mixture
model to a score distribution of peptide identifications and thereby
allows the estimation of confidence levels based on the false discvory
proportion.
Description-md5: 7e0aa71f516594d3bb37d960e0a44511