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

Last updated: January 11,2025

1. Install "r-cran-uwot" package

This guide covers the steps necessary to install r-cran-uwot on Kali Linux


    
        
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                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                r-cran-uwot
            
                    
    
    Copied

2. Uninstall "r-cran-uwot" package

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


    
        
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                sudo apt remove
            
                        
                r-cran-uwot
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

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

Package: r-cran-uwot
Version: 0.1.16-2
Installed-Size: 1858
Maintainer: Debian R Packages Maintainers
Architecture: amd64
Depends: r-base-core (>= 4.3.1-2), r-api-4.0, r-cran-matrix, r-cran-rcpp, r-cran-fnn, r-cran-rcppannoy (>= 0.0.17), r-cran-irlba, r-cran-rcppprogress, r-cran-dqrng, libc6 (>= 2.29), libgcc-s1 (>= 3.4), libstdc++6 (>= 11)
Recommends: r-cran-testthat
Suggests: r-cran-covr, r-cran-rspectra
Size: 624432
SHA256: d19053980ea1a343ac4e5c00fff7a0dc8be0da20b119b5994b3948e6a4c8edbb
SHA1: f5588f7ad2b65725611c5d99770222024f60ee51
MD5sum: 284e582fcaae6f75de89dcc43b3d10d6
Description: GNU R uniform manifold approximation and projection (UMAP)
An implementation of the Uniform Manifold Approximation and
Projection dimensionality reduction by McInnes et al. (2018)
. It also provides means to transform new data and to
carry out supervised dimensionality reduction. An implementation of the
related LargeVis method of Tang et al. (2016) is also
provided.
.
This is a complete re-implementation in R (and C++, via the 'Rcpp'
package): no Python installation is required. See the uwot website
() for more documentation and examples.
Description-md5:
Homepage: https://cran.r-project.org/package=uwot
Section: gnu-r
Priority: optional
Filename: pool/main/r/r-cran-uwot/r-cran-uwot_0.1.16-2_amd64.deb