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

Last updated: May 06,2024

1. Install "r-cran-conquer" package

In this section, we are going to explain the necessary steps to install r-cran-conquer on Ubuntu 21.10 (Impish Indri)


    
        
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                sudo apt update
            
                    
    
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            $
        

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

In this section, we are going to explain the necessary steps to uninstall r-cran-conquer on Ubuntu 21.10 (Impish Indri):


    
        
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                sudo apt remove
            
                        
                r-cran-conquer
            
                    
    
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            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the r-cran-conquer package on Ubuntu 21.10 (Impish Indri)

Package: r-cran-conquer
Architecture: amd64
Version: 1.0.2-1
Priority: optional
Section: universe/gnu-r
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Dirk Eddelbuettel
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 319
Depends: libblas3 | libblas.so.3, libc6 (>= 2.29), libgcc-s1 (>= 3.0), libgomp1 (>= 4.9), libstdc++6 (>= 9), r-base-core (>= 4.0.2-1build1), r-api-4.0, r-cran-rcpp (>= 1.0.3), r-cran-matrix, r-cran-matrixstats, r-cran-rcpparmadillo (>= 0.9.850.1.0)
Filename: pool/universe/r/r-cran-conquer/r-cran-conquer_1.0.2-1_amd64.deb
Size: 104616
MD5sum: aedd43ab1c281d22d082a4263cc43d7b
SHA1: 22b9a94badcfa9f1ca82e651897b1a4102a6ad10
SHA256: c61cf24ce08dd3699fb7ecef5712e4a9f1d08112b6f4e4333084c76d1ebf7931
SHA512: 0fe4006e7d43aaaa6e1889e0285741636b9fda0f1aa8f64d41581484add50d639b57bfac81b9e0f125218cdcb5efc5501c8ee5b73d43915225054e1506cfdb40
Homepage: https://cran.r-project.org/package=conquer
Description-en: GNU R package for convolution-type smoothed quantile regression
The package offers fast and accurate convolution-type smoothed
quantile regression. It is implemented using Barzilai-Borwein gradient
descent with a Huber regression warm start. It constructs confidence
intervals for regression coefficients using multiplier bootstrap.
Description-md5: c772aabccbc90420fcb6aba252008345