How to Install and Uninstall r-cran-broom.mixed Package on Kali Linux

Last updated: May 15,2024

1. Install "r-cran-broom.mixed" package

This guide let you learn how to install r-cran-broom.mixed on Kali Linux


    
        
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                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                r-cran-broom.mixed
            
                    
    
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2. Uninstall "r-cran-broom.mixed" package

This guide covers the steps necessary to uninstall r-cran-broom.mixed on Kali Linux:


    
        
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                sudo apt remove
            
                        
                r-cran-broom.mixed
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

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

Package: r-cran-broom.mixed
Version: 0.2.9.4-1
Installed-Size: 4332
Maintainer: Debian R Packages Maintainers
Architecture: all
Depends: r-base-core (>= 4.2.0-1), r-api-4.0, r-cran-broom, r-cran-coda, r-cran-dplyr, r-cran-forcats, r-cran-nlme, r-cran-purrr, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-furrr
Recommends: r-cran-testthat, r-cran-lme4, r-cran-glmmtmb, r-cran-knitr, r-cran-ggplot2, r-cran-matrix, r-cran-brms, r-cran-mgcv, r-cran-lmertest, r-cran-pbkrtest, r-cran-rstan, r-cran-rstanarm
Suggests: r-cran-pander, r-cran-rstantools, r-cran-tmb, r-cran-rmarkdown
Size: 4148436
SHA256: 254253d430d2221af6e1584ef131e6f9dbfd26a231bf71ae3c608ebcb7f061e3
SHA1: e60e7efdf11af2a51f61bf9ada4a146544429d97
MD5sum: eb5751bbc1141da626b5c9a6f6ae9a21
Description: GNU R tidying methods for mixed models
Convert fitted objects from various R mixed-model packages into tidy
data frames along the lines of the 'broom' package. The package provides
three S3 generics for each model: tidy(), which summarizes a model's
statistical findings such as coefficients of a regression; augment(),
which adds columns to the original data such as predictions, residuals
and cluster assignments; and glance(), which provides a one-row summary
of model-level statistics.
Description-md5:
Homepage: https://cran.r-project.org/package=broom.mixed
Section: gnu-r
Priority: optional
Filename: pool/main/r/r-cran-broom.mixed/r-cran-broom.mixed_0.2.9.4-1_all.deb