How to Install and Uninstall r-cran-glmmtmb Package on Ubuntu 22.10 (Kinetic Kudu)

Last updated: May 17,2024

1. Install "r-cran-glmmtmb" package

Please follow the instructions below to install r-cran-glmmtmb on Ubuntu 22.10 (Kinetic Kudu)

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

2. Uninstall "r-cran-glmmtmb" package

Please follow the step by step instructions below to uninstall r-cran-glmmtmb on Ubuntu 22.10 (Kinetic Kudu):

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

3. Information about the r-cran-glmmtmb package on Ubuntu 22.10 (Kinetic Kudu)

Package: r-cran-glmmtmb
Architecture: amd64
Version: 1.1.4+dfsg-2
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: 6522
Depends: r-base-core (>= 4.2.1-1ubuntu1), r-api-4.0, r-cran-tmb (>= 1.9.1), r-cran-lme4 (>= 1.1-18.9000), r-cran-matrix, r-cran-nlme, r-cran-numderiv, r-cran-rcppeigen, libc6 (>= 2.29), libgcc-s1 (>= 3.0), libgomp1 (>= 4.9), libstdc++6 (>= 11)
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-mass, r-cran-lattice, r-cran-ggplot2 (>= 2.2.1), r-cran-mlmrev, r-cran-bbmle (>= 1.0.19), r-cran-pscl, r-cran-coda, r-cran-reshape2, r-cran-car (>= 3.0.6), r-cran-emmeans (>= 1.4), r-cran-estimability, r-cran-multcomp, r-cran-effects (>= 4.0-1), r-cran-broom, r-cran-broom.mixed, r-cran-plyr, r-cran-png, r-cran-boot, r-cran-xtable
Filename: pool/universe/r/r-cran-glmmtmb/r-cran-glmmtmb_1.1.4+dfsg-2_amd64.deb
Size: 4545666
MD5sum: 787c7ed48f0b452016185f64f8233350
SHA1: ded3bf180ff80f6a8b32a5f9c11c5980dba1df17
SHA256: 43b979f388b84a11c3db457b849acd9eb5963e5d3a52c148383b8879f00b3a1e
SHA512: 838bcef781a8cd79913ae0eb7d36e313eef3d401c96fda15d0a844a32370600ae01e78d88eec6944be0aba79e586c6b0739d7d8c9240ada6076c93d47e16bab0
Homepage: https://cran.r-project.org/package=glmmTMB
Description: Generalized Linear Mixed Models using Template Model Builder
Description-md5: e1b6575a731075ace68532f6c752e23c