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

Last updated: May 21,2024

1. Install "r-cran-polycub" package

Learn how to install r-cran-polycub on Ubuntu 20.10 (Groovy Gorilla)


    
        
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                sudo apt update
            
                    
    
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            $
        

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

This is a short guide on how to uninstall r-cran-polycub on Ubuntu 20.10 (Groovy Gorilla):


    
        
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                sudo apt remove
            
                        
                r-cran-polycub
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

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

Package: r-cran-polycub
Architecture: amd64
Version: 0.7.1-1build1
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: 382
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-sp (>= 1.0-11), libc6 (>= 2.4)
Recommends: r-cran-testthat, r-cran-spatstat, r-cran-statmod
Suggests: r-cran-lattice, r-cran-mvtnorm, r-cran-cubature, r-cran-knitr, r-cran-rmarkdown
Filename: pool/universe/r/r-cran-polycub/r-cran-polycub_0.7.1-1build1_amd64.deb
Size: 243992
MD5sum: 6c6b8499ffff5812e7932550ea89e1cd
SHA1: c4c3a5e41facd6ab303f838e45c158372e9acd98
SHA256: eb996ca0b32a619b1b1cb6194a7428ac107d15734ed605ce3cd0ae11468c0a98
SHA512: 315f23feec4a6d19535785ae001f302adcbf8d30b66bfe83fc82b472c75a13e5a0bbf8667a9dcc388e426ce51ee80ae69dfb3bf3ef505a5cee0acb0e370e3cd9
Homepage: https://cran.r-project.org/package=polyCub
Description-en: GNU R Cubature over Polygonal Domains
The following methods for cubature (numerical integration)
over polygonal domains are currently implemented:
the two-dimensional midpoint rule as a simple wrapper around
as.im.function() from package 'spatstat' (Baddeley and Turner, 2005),
the product Gauss cubature by Sommariva and Vianello (2007),
an adaptive cubature for isotropic functions via line integrate()
along the boundary (Meyer and Held, 2014),
and quasi-exact methods specific to the integration of the
bivariate Gaussian density over polygonal and circular domains
(based on formulae from the Abramowitz and Stegun (1972) handbook).
For cubature over simple hypercubes, the packages 'cubature' and
'R2Cuba' are more appropriate.
Description-md5: 7fffd1503ef5147573ba82b7e8a6020d