How to Install and Uninstall r-cran-emmeans Package on Kali Linux

Last updated: November 22,2024

1. Install "r-cran-emmeans" package

This tutorial shows how to install r-cran-emmeans on Kali Linux


    
        
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                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                r-cran-emmeans
            
                    
    
    Copied

2. Uninstall "r-cran-emmeans" package

Learn how to uninstall r-cran-emmeans on Kali Linux:


    
        
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                sudo apt remove
            
                        
                r-cran-emmeans
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the r-cran-emmeans package on Kali Linux

Package: r-cran-emmeans
Version: 1.10.0+dfsg-1
Installed-Size: 2068
Maintainer: Debian R Packages Maintainers
Architecture: all
Depends: r-api-4.0, r-cran-estimability (>= 1.4.1), r-cran-numderiv, r-cran-mvtnorm
Recommends: r-cran-bayesplot, r-cran-bayestestr, r-cran-brms, r-cran-car, r-cran-coda (>= 0.17), r-cran-ggplot2, r-cran-lattice, r-cran-logspline, r-cran-mgcv, r-cran-multcomp, r-cran-multcompview, r-cran-nlme, r-cran-ordinal (>= 2014.11-12), r-cran-pbkrtest (>= 0.4-1), r-cran-lme4, r-cran-lmertest (>= 2.0.32), r-cran-mass, r-cran-knitr, r-cran-rmarkdown, r-cran-sandwich, r-cran-scales, r-cran-testthat, r-cran-xtable (>= 1.8-2)
Size: 1605320
SHA256: 08949c5a812031540ee6b98620534107a2c1b3a5418f7ef6e5ee676c2bf568a0
SHA1: 1585ee7406c87e4f1bc84b38177161620a0d9ea4
MD5sum: a5b66d67a32696c2de6e885c4c63879d
Description: GNU R estimated marginal means, aka least-squares means
Obtain estimated marginal means (EMMs) for many linear, generalized
linear, and mixed models. Compute contrasts or linear functions of EMMs,
trends, and comparisons of slopes. Plots and compact letter displays.
Least-squares means are discussed, and the term "estimated marginal means"
is suggested, in Searle, Speed, and Milliken (1980) Population marginal means
in the linear model: An alternative to least squares means, The American
Statistician 34(4), 216-221 .
Description-md5:
Homepage: https://cran.r-project.org/package=emmeans
Section: gnu-r
Priority: optional
Filename: pool/main/r/r-cran-emmeans/r-cran-emmeans_1.10.0+dfsg-1_all.deb