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

Last updated: December 23,2024

1. Install "r-cran-sdmtools" package

Please follow the instructions below to install r-cran-sdmtools on Ubuntu 20.10 (Groovy Gorilla)


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

In this section, we are going to explain the necessary steps to uninstall r-cran-sdmtools on Ubuntu 20.10 (Groovy Gorilla):


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

Package: r-cran-sdmtools
Architecture: amd64
Version: 1.1-221.2-1build1
Priority: optional
Section: universe/science
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian R Packages Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 278
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-r.utils, libc6 (>= 2.4)
Suggests: r-cran-raster, r-cran-sp
Filename: pool/universe/r/r-cran-sdmtools/r-cran-sdmtools_1.1-221.2-1build1_amd64.deb
Size: 229320
MD5sum: ace929b5bfb9de7d1925b59284e2fdb9
SHA1: 3579811730d210a339ca1bc75d43947216cb689e
SHA256: 579c924517d3a2c9ec942f937ea540c3f9b2424ed8aed8a81b71278366495e66
SHA512: dad15a455b35cdfde8a1c5191ce136f2352de46b9cbc9ff068925fa99bfce3dfb1f28216c24402417b6c177a3ce5f1de6a919e98f5f7d358522ca8fd9dfeb428
Homepage: https://cran.r-project.org/package=SDMTools
Description-en: Species Distribution Modelling Tools
This package provides a set of tools for post processing the
outcomes of species distribution modeling exercises. It includes novel
methods for comparing models and tracking changes in distributions through
time. It further includes methods for visualizing outcomes, selecting
thresholds, calculating measures of accuracy and landscape fragmentation
statistics, etc.
.
This package was made possible in part by financial
support from the Australian Research Council & ARC Research Network for
Earth System Science.
Description-md5: 275b49f177f2d98142f9c42bcde5f564