How to Install and Uninstall r-cran-timereg Package on Ubuntu 21.10 (Impish Indri)

Last updated: May 09,2024

1. Install "r-cran-timereg" package

Please follow the step by step instructions below to install r-cran-timereg on Ubuntu 21.10 (Impish Indri)


    
        
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                sudo apt update
            
                    
    
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            $
        

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

Learn how to uninstall r-cran-timereg on Ubuntu 21.10 (Impish Indri):


    
        
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                sudo apt remove
            
                        
                r-cran-timereg
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the r-cran-timereg package on Ubuntu 21.10 (Impish Indri)

Package: r-cran-timereg
Architecture: amd64
Version: 1.9.8-1
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: 1385
Depends: r-base-core (>= 4.0.2-1build1), r-api-4.0, r-cran-survival, r-cran-lava, r-cran-numderiv, libblas3 | libblas.so.3, libc6 (>= 2.29), liblapack3 | liblapack.so.3
Suggests: r-cran-mets
Filename: pool/universe/r/r-cran-timereg/r-cran-timereg_1.9.8-1_amd64.deb
Size: 1058440
MD5sum: bae7f3c535c1d94b645e99e8760ec0d5
SHA1: 208038519c9db37be8642418c2085a53bfd0ac5d
SHA256: b3a27ee8994f77bef4a6a57bbdc19f41df201fe1ca6302805c4925dd25c05622
SHA512: 417cb834276e6bf9ea9ac0adeab60b64fb2de2da1f9fcc4eaa23e2a6324977bd6d38718eacf1bdc2cff2fcc8f76f304092b823f3cea89aba03d322cf69877a10
Homepage: https://cran.r-project.org/package=timereg
Description-en: GNU R flexible regression models for survival data
Programs for Martinussen and Scheike (2006), `Dynamic Regression
Models for Survival Data', Springer Verlag. Plus more recent developments.
Additive survival model, semiparametric proportional odds model, fast
cumulative residuals, excess risk models and more. Flexible competing risks
regression including GOF-tests. Two-stage frailty modelling. PLS for the
additive risk model. Lasso in the 'ahaz' package.
Description-md5: 198010a9cc8bb10ce35db3e81e09430d