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

Last updated: November 26,2024

1. Install "r-cran-mets" package

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

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

2. Uninstall "r-cran-mets" package

This is a short guide on how to uninstall r-cran-mets on Ubuntu 21.10 (Impish Indri):

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

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

Package: r-cran-mets
Architecture: amd64
Version: 1.2.8.1+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: 4497
Depends: r-base-core (>= 4.0.2-1build1), r-api-4.0, r-cran-timereg (>= 1.9.4), r-cran-lava (>= 1.6.6), r-cran-mvtnorm, r-cran-numderiv, r-cran-rcpp, r-cran-survival (>= 2.43-1), r-cran-rcpparmadillo, libblas3 | libblas.so.3, libc6 (>= 2.29), libgcc-s1 (>= 4.0), liblapack3 | liblapack.so.3, libstdc++6 (>= 9)
Recommends: r-cran-testthat (>= 0.11), r-cran-prodlim
Suggests: r-cran-cmprsk, r-cran-ucminf, r-cran-knitr, r-cran-bookdown, r-cran-rmarkdown, r-cran-ggplot2, r-cran-cowplot
Filename: pool/universe/r/r-cran-mets/r-cran-mets_1.2.8.1+dfsg-1_amd64.deb
Size: 3068164
MD5sum: 53f2955611c847c84f0eb52c20e738bc
SHA1: b3cd957cfcce4b374961c92ada85c4520ac0e3fa
SHA256: bc4475c4f0ba8e543095e169eb3feb416567333bd7eabd9d476b74f1906c01df
SHA512: 0d5c7f74fee89fc81141bf2c7882523c6f5a9be8b021986e8ad78050aad44b00ec51da916a185c386e662e4000305097fff08185c0d4656a6429b85cc69d5447
Homepage: https://cran.r-project.org/package=mets
Description-en: GNU R analysis of multivariate event times
Implementation of various statistical models for multivariate
event history data . Including multivariate
cumulative incidence models , and bivariate random
effects probit models (Liability models) .
Also contains two-stage binomial modelling that can do pairwise odds-ratio
dependence modelling based marginal logistic regression models. This is an
alternative to the alternating logistic regression approach (ALR).
Description-md5: 3897a54c9237ed9b5a0148788f0cfb9d