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

Last updated: May 17,2024

1. Install "r-cran-cvst" package

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


    
        
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                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                r-cran-cvst
            
                    
    
    Copied

2. Uninstall "r-cran-cvst" package

Please follow the instructions below to uninstall r-cran-cvst on Kali Linux:


    
        
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                sudo apt remove
            
                        
                r-cran-cvst
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

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

Package: r-cran-cvst
Version: 0.2-3-1
Installed-Size: 116
Maintainer: Debian R Packages Maintainers
Architecture: all
Depends: r-base-core (>= 4.1.2-2), r-api-4.0, r-cran-kernlab, r-cran-matrix
Size: 86364
SHA256: 82d39c1a96726ac3b84247dbe409fb6ae7bc2aa37022d1c0fdbe47e2ae03bdb7
SHA1: 34c5d0994f1c67a4c26ba4cc8696f28d0d1c724e
MD5sum: ccf7039ed044d4564e25dcc976b7557a
Description: GNU R fast cross-validation via sequential testing
This package implements the fast cross-validation via sequential testing
(CVST) procedure. CVST is an improved cross-validation procedure which
uses non-parametric testing coupled with sequential analysis to
determine the best parameter set on linearly increasing subsets of the
data. By eliminating underperforming candidates quickly and keeping
promising candidates as long as possible, the method speeds up the
computation while preserving the capability of a full cross-validation.
Additionally to the CVST the package contains an implementation of the
ordinary k-fold cross-validation with a flexible and powerful set of
helper objects and methods to handle the overall model selection
process. The implementations of the Cochran's Q test with permutations
and the sequential testing framework of Wald are generic and can
therefore also be used in other contexts.
Description-md5:
Homepage: https://cran.r-project.org/package=CVST
Section: gnu-r
Priority: optional
Filename: pool/main/r/r-cran-cvst/r-cran-cvst_0.2-3-1_all.deb