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

Last updated: February 24,2025

1. Install "r-cran-mets" package

Please follow the instructions below to install r-cran-mets on Kali Linux


    
        
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                sudo apt update
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt install
            
                        
                r-cran-mets
            
                    
    
    Copied

2. Uninstall "r-cran-mets" package

Please follow the guidance below to uninstall r-cran-mets on Kali Linux:


    
        
            $
        

        
            
                sudo apt remove
            
                        
                r-cran-mets
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

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

Package: r-cran-mets
Version: 1.3.3+dfsg-1
Installed-Size: 5467
Maintainer: Debian R Packages Maintainers
Architecture: amd64
Depends: r-api-4.0, r-cran-timereg (>= 1.9.4), r-cran-lava (>= 1.7.1), r-cran-mvtnorm, r-cran-numderiv, r-cran-rcpp, r-cran-survival (>= 2.43-1), r-cran-rcpparmadillo, libblas3 | libblas.so.3, libc6 (>= 2.29), libgcc-s1 (>= 4.0), liblapack3 | liblapack.so.3, libstdc++6 (>= 13.1)
Recommends: r-cran-optimx, r-cran-prodlim, r-cran-cmprsk, r-cran-testthat (>= 0.11), r-cran-ucminf, r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2, r-cran-cowplot
Size: 3691640
SHA256: ec3878c504315b2dabc4b0dbeca9f9e25b2bdbfb73403cd51991ecb520aa6476
SHA1: 5acb043754f4ee03a8e30d6c720bc51998c4fdfa
MD5sum: 8f324c7d22c7e6ee587475a5e1e54cc7
Description: GNU R analysis of multivariate event times
Implementation of various statistical models for multivariate
event history data . Including multivariate
cumulative incidence models , and bivariate random
effects probit models (Liability models) .
Also contains two-stage binomial modelling that can do pairwise odds-ratio
dependence modelling based marginal logistic regression models. This is an
alternative to the alternating logistic regression approach (ALR).
Description-md5:
Homepage: https://cran.r-project.org/package=mets
Section: gnu-r
Priority: optional
Filename: pool/main/r/r-cran-mets/r-cran-mets_1.3.3+dfsg-1_amd64.deb