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

Last updated: May 14,2024

1. Install "r-cran-projpred" package

Please follow the guidelines below to install r-cran-projpred on Ubuntu 21.10 (Impish Indri)

$ sudo apt update $ sudo apt install r-cran-projpred

2. Uninstall "r-cran-projpred" package

Please follow the steps below to uninstall r-cran-projpred on Ubuntu 21.10 (Impish Indri):

$ sudo apt remove r-cran-projpred $ sudo apt autoclean && sudo apt autoremove

3. Information about the r-cran-projpred package on Ubuntu 21.10 (Impish Indri)

Package: r-cran-projpred
Architecture: amd64
Version: 2.0.2+dfsg-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: 678
Depends: r-base-core (>= 4.0.3-1), r-api-4.0, r-cran-dplyr, r-cran-loo (>= 2.0.0), r-cran-rstantools (>= 2.0.0), r-cran-lme4, r-cran-optimx, r-cran-ggplot2, r-cran-rcpp, r-cran-rngtools (>= 1.2.4), r-cran-tidyverse, r-cran-mass, r-cran-magrittr, r-cran-mgcv, r-cran-gamm4, r-cran-rcpparmadillo, libblas3 | libblas.so.3, libc6 (>= 2.29), libgcc-s1 (>= 3.0), liblapack3 | liblapack.so.3, libstdc++6 (>= 9)
Recommends: r-cran-brms, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-glmnet, r-cran-bayesplot (>= 1.5.0)
Suggests: r-cran-rstanarm
Filename: pool/universe/r/r-cran-projpred/r-cran-projpred_2.0.2+dfsg-1_amd64.deb
Size: 460372
MD5sum: 440bd867a9b92bb0beff9ce3bd06f1c1
SHA1: 87221fd4be73bb7ea7e71f22dd2cd390ef5d9736
SHA256: c46395009ec578490961e049872c62fc2e220f83913c3e2403f5f4ebb949ee50
SHA512: b4fa7c1dc984c37c9cf1a10d0f7ad8e6af20edd5e41e26524eaa2ca5912712b9d343056639999ff0252ae1a9d567af94e92e6c876b545b65dc550c2b62d18f54
Homepage: https://cran.r-project.org/package=projpred
Description-en: GNU R projection predictive feature selection
Performs projection predictive feature selection for generalized linear models
(see, Piironen, Paasiniemi and Vehtari, 2018, ).
The package is compatible with the 'rstanarm' and 'brms' packages, but other
reference models can also be used. See the package vignette for more
information and examples.
Description-md5: 1ffc337918328a1bded35a41d5710d9e