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

Last updated: April 29,2024

1. Install "r-cran-actuar" package

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


    
        
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                sudo apt update
            
                    
    
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            $
        

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

This guide covers the steps necessary to uninstall r-cran-actuar on Ubuntu 20.10 (Groovy Gorilla):


    
        
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                sudo apt remove
            
                        
                r-cran-actuar
            
                    
    
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            $
        

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

Package: r-cran-actuar
Architecture: amd64
Version: 3.0-0-1
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: 2609
Depends: r-base-core (>= 4.0.1-1), r-api-4.0, r-cran-expint, libblas3 | libblas.so.3, libc6 (>= 2.29), liblapack3 | liblapack.so.3
Suggests: r-cran-mass
Filename: pool/universe/r/r-cran-actuar/r-cran-actuar_3.0-0-1_amd64.deb
Size: 1901972
MD5sum: f7db71e233847508aa29e9ca3429c7ed
SHA1: ea9af3efe61726be042216b3800d5e1b8e3e0cc0
SHA256: 5adf507093545236223ce681c02700261d625260dd7f61e9788e6983c5481b79
SHA512: 33d59a5b5f956c4f88bcb587ca2f04e770c51c9f1f1993ecfd8214f87b4cdcc54aa05831ca9d469793c2379abeb118e0254a0ad45607257513df311559814b49
Homepage: https://cran.r-project.org/package=actuar
Description-en: GNU R actuarial functions and heavy tailed distributions
Functions and data sets for actuarial science:
modeling of loss distributions; risk theory and ruin theory;
simulation of compound models, discrete mixtures and compound
hierarchical models; credibility theory. Support for many additional
probability distributions to model insurance loss amounts and loss
frequency: 19 continuous heavy tailed distributions; the
Poisson-inverse Gaussian discrete distribution; zero-truncated and
zero-modified extensions of the standard discrete distributions.
Support for phase-type distributions commonly used to compute ruin
probabilities.
Description-md5: 1269abecbc5217e3d1112b1f81d0c154