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

Last updated: November 26,2024

1. Install "r-cran-effects" package

This guide let you learn how to install r-cran-effects on Ubuntu 20.10 (Groovy Gorilla)


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

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


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

Package: r-cran-effects
Architecture: all
Version: 4.2.0-1
Priority: optional
Section: universe/math
Source: effects
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Dirk Eddelbuettel
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 2699
Depends: r-base-core (>= 4.0.2-1build1), r-api-4.0, r-cran-cardata, r-cran-lme4, r-cran-nnet, r-cran-lattice (>= 0.10.11), r-cran-colorspace, r-cran-survey, r-cran-estimability, r-cran-insight, r-cran-mass, r-cran-nlme, r-cran-nloptr
Filename: pool/universe/e/effects/r-cran-effects_4.2.0-1_all.deb
Size: 2348840
MD5sum: 937aa45e3ee3c381100d439967ad641c
SHA1: 2f7053ca76f3404fd0f77cea44cac71e7831698d
SHA256: 14b225174609a14f412eba9054c32ab2cf036959453893554ca60c751c9b84d6
SHA512: c55c7a27d4d18a96ed9949ec2ff457b0870153c304cce264136f577080a9f79deb8d52e3ed47b53cb889122bd5d03dffe888fd228babd542edfbb3ebce826f9d
Homepage: https://cran.r-project.org/package=effects
Description-en: GNU R graphical and tabular effects display for glm models
This package provides functions for 'effect' displays: Graphical and
tabular effect displays, e.g., of interactions, for linear generalized
linear, multinomial-logit, and proportional-odds logit models.
.
An earlier version was described in the article by Fox (2003) in the
Journal of Statistical Software available at
http://www.jstatsoft.org/v08/i15/
Description-md5: 571920f3327dcd99145adcb5aaf1e8bc