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

Last updated: May 19,2024

1. Install "r-cran-rcpp" package

This guide let you learn how to install r-cran-rcpp on Ubuntu 20.10 (Groovy Gorilla)


    
        
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                sudo apt update
            
                    
    
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            $
        

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

Please follow the instructions below to uninstall r-cran-rcpp on Ubuntu 20.10 (Groovy Gorilla):


    
        
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                sudo apt remove
            
                        
                r-cran-rcpp
            
                    
    
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            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the r-cran-rcpp package on Ubuntu 20.10 (Groovy Gorilla)

Package: r-cran-rcpp
Architecture: amd64
Version: 1.0.5-1
Priority: optional
Section: universe/math
Source: rcpp
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Dirk Eddelbuettel
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 8851
Depends: libc6 (>= 2.14), libgcc-s1 (>= 3.0), libstdc++6 (>= 9), r-base-core (>= 4.0.2-1), r-api-4.0, littler, r-cran-littler, r-cran-pkgkitten
Suggests: r-cran-inline
Filename: pool/universe/r/rcpp/r-cran-rcpp_1.0.5-1_amd64.deb
Size: 1961720
MD5sum: abf71f7587e94e9df1369500cc69aba1
SHA1: 83fb83406b3cb4932685dedc848a1de91cc5349d
SHA256: c878884fdad0d1d808fedcf5b4797e1f813f5fbbfacf77710a1ee904b3a9d32a
SHA512: 5db66e486b7cf4df2ea3c687d120795d2f435886f4805ec48346f7d8421c29fdf3dc71ad409be66c89b34e167b23e9b167c8afb8223f25b9fc0e95f8bbe7c4d1
Homepage: http://dirk.eddelbuettel.com/code/rcpp.html
Description-en: GNU R package for Seamless R and C++ Integration
The Rcpp package provides R functions as well as C++ classes which
offer a seamless integration of R and C++. Many R data types and objects can be
mapped back and forth to C++ equivalents which facilitates both writing of new
code as well as easier integration of third-party libraries. Documentation
about Rcpp is provided by several vignettes included in this package, via the
Rcpp Gallery site at http://gallery.rcpp.org, the paper by Eddelbuettel and
Francois (2011, JSS), and the book by Eddelbuettel (2013, Springer); see
'citation("Rcpp")' for details on these last two.
Description-md5: 5175ba31aa847a8a43df6b39a3b51bfd