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

Last updated: December 23,2024

1. Install "r-cran-dorng" package

This guide let you learn how to install r-cran-dorng on Kali Linux


    
        
            $
        

        
            
                sudo apt update
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt install
            
                        
                r-cran-dorng
            
                    
    
    Copied

2. Uninstall "r-cran-dorng" package

Please follow the steps below to uninstall r-cran-dorng on Kali Linux:


    
        
            $
        

        
            
                sudo apt remove
            
                        
                r-cran-dorng
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

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

Package: r-cran-dorng
Version: 1.8.6-1
Installed-Size: 381
Maintainer: Debian R Packages Maintainers
Architecture: all
Depends: r-base-core (>= 4.2.2.20221110-1), r-api-4.0, r-cran-foreach, r-cran-rngtools (>= 1.5), r-cran-iterators
Recommends: r-cran-testthat, r-cran-doparallel
Suggests: r-cran-devtools, r-cran-knitr, r-cran-rbibutils (>= 1.3), r-cran-pkgmaker (>= 0.32.7), r-cran-covr
Size: 308844
SHA256: 4ef5e13c4d59c7c21d2124f269fa56f2f2bce35d3b2435b0e678409043476d6e
SHA1: cded74ca301e42fbce9147813f30e34090020e9f
MD5sum: 5a116172e8cacbff4ffe30d1f555bf7d
Description: GNU R generic reproducible parallel backend for 'foreach' loops
This GNU R package provides functions to perform
reproducible parallel foreach loops, using independent
random streams as generated by L'Ecuyer's combined
multiple-recursive generator [L'Ecuyer (1999), ].
It enables to easily convert standard %dopar% loops into
fully reproducible loops, independently of the number
of workers, the task scheduling strategy, or the chosen
parallel environment and associated foreach backend.
Description-md5:
Homepage: https://cran.r-project.org/package=doRNG
Section: gnu-r
Priority: optional
Filename: pool/main/r/r-cran-dorng/r-cran-dorng_1.8.6-1_all.deb