How to Install and Uninstall r-cran-mvnfast Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: November 25,2024

1. Install "r-cran-mvnfast" package

This is a short guide on how to install r-cran-mvnfast on Ubuntu 20.10 (Groovy Gorilla)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                r-cran-mvnfast
            
                    
    
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2. Uninstall "r-cran-mvnfast" package

This guide let you learn how to uninstall r-cran-mvnfast on Ubuntu 20.10 (Groovy Gorilla):


    
        
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                sudo apt remove
            
                        
                r-cran-mvnfast
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the r-cran-mvnfast package on Ubuntu 20.10 (Groovy Gorilla)

Package: r-cran-mvnfast
Architecture: amd64
Version: 0.2.5+dfsg-1build2
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: 376
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-rcpp (>= 0.12.0), r-cran-rcpparmadillo, r-cran-bh, libblas3 | libblas.so.3, libc6 (>= 2.29), libgcc-s1 (>= 3.0), libgomp1 (>= 4.9), liblapack3 | liblapack.so.3, libstdc++6 (>= 9)
Recommends: r-cran-testthat, r-cran-mvtnorm
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-mass, r-cran-plyr
Filename: pool/universe/r/r-cran-mvnfast/r-cran-mvnfast_0.2.5+dfsg-1build2_amd64.deb
Size: 146892
MD5sum: 3d87a9bd5366b17bc5c4d9be7b965bac
SHA1: 44177cd5493893fe6dae9a5dd03e01ad0a70262e
SHA256: 650fb7aa63cc9d9a09f3b6a04f5203c56218d2272296541f04a53f9d6822d597
SHA512: 745aead5864b858aa73144d0fd3b1597feaee3fa274390293eb8bd3db6a601f81dd65a29d4226e781eafd2a0fc5624a7183cf2f2297cf5e3ea4023e057d339a9
Homepage: https://cran.r-project.org/package=mvnfast
Description-en: GNU R fast multivariate normal and student's t methods
Provides computationally efficient tools related to the multivariate
normal and Student's t distributions. The main functionalities are:
simulating multivariate random vectors, evaluating multivariate normal
or Student's t densities and Mahalanobis distances. These tools are very
efficient thanks to the use of C++ code and of the OpenMP API.
Description-md5: 1346688edbf09213235127b4f4e049e0