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

Last updated: May 14,2024

1. Install "r-cran-adegenet" package

Learn how to install r-cran-adegenet on Kali Linux


    
        
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                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                r-cran-adegenet
            
                    
    
    Copied

2. Uninstall "r-cran-adegenet" package

This guide let you learn how to uninstall r-cran-adegenet on Kali Linux:


    
        
            $
        

        
            
                sudo apt remove
            
                        
                r-cran-adegenet
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

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

Package: r-cran-adegenet
Version: 2.1.10-1
Installed-Size: 4813
Maintainer: Debian R Packages Maintainers
Architecture: amd64
Depends: r-base-core (>= 4.2.2.20221110-2), r-api-4.0, r-cran-ade4, r-cran-mass, r-cran-igraph, r-cran-ape, r-cran-shiny, r-cran-ggplot2, r-cran-seqinr, r-cran-boot, r-cran-reshape2, r-cran-dplyr (>= 0.4.1), r-cran-vegan, libc6 (>= 2.4)
Recommends: r-cran-testthat
Suggests: r-cran-maps, r-cran-spdep, r-cran-interp
Size: 2719048
SHA256: b47c712e02909c8e27dc45b63a13c1b2f9921dea2b9f6eabe81f8336c521bb2b
SHA1: 456243e1b9e7138106a0d6b9d68cad33c0b0870f
MD5sum: 8b1c094099f8ec1cdfa6da72ce861a15
Description: GNU R exploratory analysis of genetic and genomic data
Toolset for the exploration of genetic and genomic data. Adegenet
provides formal (S4) classes for storing and handling various genetic
data, including genetic markers with varying ploidy and hierarchical
population structure ('genind' class), alleles counts by populations
('genpop'), and genome-wide SNP data ('genlight'). It also implements
original multivariate methods (DAPC, sPCA), graphics, statistical tests,
simulation tools, distance and similarity measures, and several spatial
methods. A range of both empirical and simulated datasets is also
provided to illustrate various methods.
Description-md5:
Homepage: https://cran.r-project.org/package=adegenet
Section: gnu-r
Priority: optional
Filename: pool/main/r/r-cran-adegenet/r-cran-adegenet_2.1.10-1_amd64.deb