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

Last updated: December 28,2024

1. Install "r-cran-amore" package

This tutorial shows how to install r-cran-amore on Ubuntu 20.10 (Groovy Gorilla)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                r-cran-amore
            
                    
    
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2. Uninstall "r-cran-amore" package

Here is a brief guide to show you how to uninstall r-cran-amore on Ubuntu 20.10 (Groovy Gorilla):


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

Package: r-cran-amore
Architecture: amd64
Version: 0.2-16-1build1
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: 148
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, libc6 (>= 2.4), libgomp1 (>= 4.9)
Filename: pool/universe/r/r-cran-amore/r-cran-amore_0.2-16-1build1_amd64.deb
Size: 94592
MD5sum: 01b9c38295ba4fab79694becdb1f96d8
SHA1: c4532f492f8937aeb190f8b38292bc82bb24cb37
SHA256: cda035d036bb4ad9a6f5cce6a8bf651c1bad93f63ce4cfc68285bb296abdbb56
SHA512: a69492628c62bb6ff62a84411e5940121d431681f5dfca17fa67b0022903d5cac9a2d837f59c41ba531839c2c81db88bd79715cdd46ab2dca5885b00102b1d4f
Homepage: https://cran.r-project.org/package=AMORE
Description-en: GNU R: A MORE flexible neural network package
This package was born to release the TAO robust neural network
algorithm to the R users. It has grown and can be of interest for
the users wanting to implement their own training algorithms as well
as for those others whose needs lye only in the "user space".
Description-md5: 0ed3bbd9272a199786d214c19622d0e1