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

Last updated: December 29,2024

1. Install "r-cran-ordinal" package

This guide covers the steps necessary to install r-cran-ordinal on Kali Linux


    
        
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                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                r-cran-ordinal
            
                    
    
    Copied

2. Uninstall "r-cran-ordinal" package

This guide covers the steps necessary to uninstall r-cran-ordinal on Kali Linux:


    
        
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                sudo apt remove
            
                        
                r-cran-ordinal
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

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

Package: r-cran-ordinal
Version: 2023.12-4-1
Installed-Size: 1505
Maintainer: Debian R Packages Maintainers
Architecture: amd64
Depends: r-api-4.0, r-cran-ucminf, r-cran-mass, r-cran-matrix, r-cran-numderiv, r-cran-nlme, libc6 (>= 2.4)
Recommends: r-cran-lme4, r-cran-nnet, r-cran-xtable, r-cran-testthat (>= 0.8)
Size: 1268012
SHA256: a949d9765fbb76459f11905d7a644c36d02373fd0909dd5d97657aa3a1bc0ce4
SHA1: 41697abe8b71557f393fc041c7f30279d62f3559
MD5sum: 691e389d820d0e53f20ed60c98cbc198
Description: GNU R regression models for ordinal data
Implementation of cumulative link (mixed) models also known
as ordered regression models, proportional odds models, proportional
hazards models for grouped survival times and ordered logit/probit/...
models. Estimation is via maximum likelihood and mixed models are fitted
with the Laplace approximation and adaptive Gauss-Hermite quadrature.
Multiple random effect terms are allowed and they may be nested, crossed or
partially nested/crossed. Restrictions of symmetry and equidistance can be
imposed on the thresholds (cut-points/intercepts). Standard model
methods are available (summary, anova, drop-methods, step,
confint, predict etc.) in addition to profile methods and slice
methods for visualizing the likelihood function and checking
convergence.
Description-md5:
Homepage: https://cran.r-project.org/package=ordinal
Section: gnu-r
Priority: optional
Filename: pool/main/r/r-cran-ordinal/r-cran-ordinal_2023.12-4-1_amd64.deb