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

Last updated: April 28,2024

1. Install "r-cran-blockmodeling" package

This guide covers the steps necessary to install r-cran-blockmodeling on Ubuntu 20.10 (Groovy Gorilla)


    
        
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                sudo apt update
            
                    
    
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            $
        

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

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


    
        
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                sudo apt remove
            
                        
                r-cran-blockmodeling
            
                    
    
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            $
        

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

Package: r-cran-blockmodeling
Architecture: amd64
Version: 1.0.0-1
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: 487
Depends: r-base-core (>= 4.0.2-1), r-api-4.0, r-cran-matrix, libc6 (>= 2.29)
Suggests: r-cran-dorng, r-cran-doparallel, r-cran-foreach
Filename: pool/universe/r/r-cran-blockmodeling/r-cran-blockmodeling_1.0.0-1_amd64.deb
Size: 363768
MD5sum: 954667e4d64387e5ee58c4360fd808cf
SHA1: 3173433138ed877d013f5cc5af0c5ea9b0fbf57d
SHA256: b258989f8aa50cb2ca8fe0c9d346f16940ae8a977e71a25d60a1c81766d5048c
SHA512: 3c0de39d8efcc97834814263439dc79f34d8d1b8af6578f1ca43391ae8cc3915449d2d4a6c92446b178ced01597688ea86eeafd112ecf78cd92edb4052efd3a5
Homepage: https://cran.r-project.org/package=blockmodeling
Description-en: Generalized and classical blockmodeling of valued networks
This R package is primarly meant as an implementation of Generalized
blockmodeling for valued networks. In addition, measurese of similarity or
dissimilarity based on structural equivalence and regular equivalence (REGE
algorithm) can be computed and partitioned matrices can be ploted.
Description-md5: 332ce708874a031a391ed5d12bab89db