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

Last updated: May 18,2024

1. Install "r-cran-rsvd" package

This tutorial shows how to install r-cran-rsvd on Kali Linux


    
        
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                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                r-cran-rsvd
            
                    
    
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2. Uninstall "r-cran-rsvd" package

In this section, we are going to explain the necessary steps to uninstall r-cran-rsvd on Kali Linux:


    
        
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                sudo apt remove
            
                        
                r-cran-rsvd
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

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

Package: r-cran-rsvd
Version: 1.0.5-1
Installed-Size: 3567
Maintainer: Debian R Packages Maintainers
Architecture: all
Depends: r-base-core (>= 4.1.1-2), r-api-4.0, r-cran-matrix
Recommends: r-cran-testthat, r-cran-ggplot2, r-cran-plyr, r-cran-scales
Size: 3588980
SHA256: 117c9626fad0bf928d81e96dab144b3f09f97bb3a0566a9af60e423c15417dec
SHA1: 36b7d4c23852bfa47c959a59e11fde049c2d6b52
MD5sum: 23c0bf9b14dc3d802fcf46e920ca7820
Description: Randomized Singular Value Decomposition
Low-rank matrix decompositions are fundamental tools and widely used for
data analysis, dimension reduction, and data compression. Classically,
highly accurate deterministic matrix algorithms are used for this task.
However, the emergence of large-scale data has severely challenged our
computational ability to analyze big data. The concept of randomness has
been demonstrated as an effective strategy to quickly produce
approximate answers to familiar problems such as the singular value
decomposition (SVD). The rsvd package provides several randomized matrix
algorithms such as the randomized singular value decomposition (rsvd),
randomized principal component analysis (rpca), randomized robust
principal component analysis (rrpca), randomized interpolative
decomposition (rid), and the randomized CUR decomposition (rcur). In
addition several plot functions are provided. The methods are discussed
in detail by Erichson et al. (2016) .
Description-md5:
Homepage: https://cran.r-project.org/package=rsvd
Section: gnu-r
Priority: optional
Filename: pool/main/r/r-cran-rsvd/r-cran-rsvd_1.0.5-1_all.deb