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

Last updated: March 12,2025

1. Install "r-cran-rspectra" package

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


    
        
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                sudo apt update
            
                    
    
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            $
        

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

Please follow the guidance below to uninstall r-cran-rspectra on Kali Linux:


    
        
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                sudo apt remove
            
                        
                r-cran-rspectra
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

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

Package: r-cran-rspectra
Version: 0.16-1-1
Installed-Size: 1436
Maintainer: Debian R Packages Maintainers
Architecture: amd64
Depends: r-base-core (>= 4.2.0-1), r-api-4.0, r-cran-matrix (>= 1.1-0), r-cran-rcpp (>= 0.11.5), r-cran-rcppeigen (>= 0.3.3.3.0), libblas3 | libblas.so.3, libc6 (>= 2.14), libgcc-s1 (>= 4.0), liblapack3 | liblapack.so.3, libstdc++6 (>= 11)
Suggests: r-cran-knitr, r-cran-rmarkdown
Size: 388568
SHA256: 029004c0065f6f0524f45c93f5138204c0e6b228f3106032e0da4687a5abef74
SHA1: b5bbf1ba3bab7000fa360f18b01d3e58d408505f
MD5sum: 2226dd3e6d4f85f179409ac5b43a24b3
Description: GNU R solvers for large-scale eigenvalue and SVD problems
This package provides a R interface to the 'Spectra' library
for large-scale eigenvalue and SVD
problems. It is typically used to compute a few
eigenvalues/vectors of an n by n matrix, e.g., the k largest eigenvalues,
which is usually more efficient than eigen() if k << n. This package
provides the 'eigs()' function that does the similar job as in 'Matlab',
'Octave', 'Python SciPy' and 'Julia'. It also provides the 'svds()' function
to calculate the largest k singular values and corresponding
singular vectors of a real matrix. The matrix to be computed on can be
dense, sparse, or in the form of an operator defined by the user.
Description-md5:
Homepage: https://cran.r-project.org/package=RSpectra
Section: gnu-r
Priority: optional
Filename: pool/main/r/r-cran-rspectra/r-cran-rspectra_0.16-1-1_amd64.deb