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

Last updated: May 17,2024

1. Install "r-cran-fpc" package

Please follow the steps below to install r-cran-fpc on Kali Linux


    
        
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                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                r-cran-fpc
            
                    
    
    Copied

2. Uninstall "r-cran-fpc" package

Please follow the guidelines below to uninstall r-cran-fpc on Kali Linux:


    
        
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                sudo apt remove
            
                        
                r-cran-fpc
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

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

Package: r-cran-fpc
Version: 2.2-11-1
Installed-Size: 916
Maintainer: Debian R Packages Maintainers
Architecture: all
Depends: r-api-4.0, r-cran-mass, r-cran-cluster, r-cran-mclust, r-cran-flexmix, r-cran-prabclus, r-cran-class, r-cran-diptest, r-cran-robustbase, r-cran-kernlab
Recommends: r-cran-mvtnorm
Size: 869580
SHA256: 9067ea15c2d9aa0447bbe3da18a30453e0f465e164dd3fb5c31c5fba3cbe6524
SHA1: f749e58073697ce912c1a34ff04630cc5ee67111
MD5sum: d469e67da4090e723113a4612b788840
Description: GNU R flexible procedures for clustering
Various methods for clustering and cluster validation. Fixed point
clustering. Linear regression clustering. Clustering by merging Gaussian
mixture components. Symmetric and asymmetric discriminant projections
for visualisation of the separation of groupings. Cluster validation
statistics for distance based clustering including corrected Rand index.
Cluster-wise cluster stability assessment. Methods for estimation of the
number of clusters: Calinski-Harabasz, Tibshirani and Walther's
prediction strength, Fang and Wang's bootstrap stability.
Gaussian/multinomial mixture fitting for mixed continuous/categorical
variables. Variable-wise statistics for cluster interpretation. DBSCAN
clustering. Interface functions for many clustering methods implemented
in R, including estimating the number of clusters with kmeans, pam and
clara. Modality diagnosis for Gaussian mixtures.
Description-md5:
Homepage: https://cran.r-project.org/package=fpc
Section: gnu-r
Priority: optional
Filename: pool/main/r/r-cran-fpc/r-cran-fpc_2.2-11-1_all.deb