How to Install and Uninstall r-cran-waveslim Package on Ubuntu 21.10 (Impish Indri)

Last updated: May 15,2024

1. Install "r-cran-waveslim" package

Please follow the instructions below to install r-cran-waveslim on Ubuntu 21.10 (Impish Indri)


    
        
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                sudo apt update
            
                    
    
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            $
        

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

Please follow the guidance below to uninstall r-cran-waveslim on Ubuntu 21.10 (Impish Indri):


    
        
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                sudo apt remove
            
                        
                r-cran-waveslim
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the r-cran-waveslim package on Ubuntu 21.10 (Impish Indri)

Package: r-cran-waveslim
Architecture: amd64
Version: 1.8.2-1build1
Priority: optional
Section: universe/gnu-r
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian R Packages Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 840
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, libc6 (>= 2.29)
Suggests: r-cran-covr
Filename: pool/universe/r/r-cran-waveslim/r-cran-waveslim_1.8.2-1build1_amd64.deb
Size: 765064
MD5sum: 0c6a435efa335bd2b992039365c25bbd
SHA1: fe8346a05f4d91afc790e7e51006c62ba292a892
SHA256: 48a3312638e041e27bcdadd894ab98666da15ee2f727007cc4eb7029e5a29b07
SHA512: 6dde8015901d97967d551897aec79b85660017debb19e45408abc7155920b921698f81f81f193de911a9fba376d5f989358844548276cc6ae53c26891828782f
Homepage: https://cran.r-project.org/package=waveslim
Description-en: GNU R wavelet routines for 1-, 2- and 3-D signal processing
Basic wavelet routines for time series (1D), image (2D)
and array (3D) analysis. The code provided here is based on
wavelet methodology developed in Percival and Walden (2000);
Gencay, Selcuk and Whitcher (2001); the dual-tree complex wavelet
transform (DTCWT) from Kingsbury (1999, 2001) as implemented by
Selesnick; and Hilbert wavelet pairs (Selesnick 2001, 2002). All
figures in chapters 4-7 of GSW (2001) are reproducible using this
package and R code available at the book website(s) below.
Description-md5: 48923b21c946b9e7dc3cb0440698dc41