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

Last updated: May 14,2024

1. Install "r-cran-lava" package

This is a short guide on how to install r-cran-lava on Ubuntu 21.10 (Impish Indri)

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

2. Uninstall "r-cran-lava" package

This tutorial shows how to uninstall r-cran-lava on Ubuntu 21.10 (Impish Indri):

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

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

Package: r-cran-lava
Architecture: all
Version: 1.6.8.1-1
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: 2855
Depends: r-base-core (>= 4.0.3-1), r-api-4.0, r-cran-numderiv, r-cran-survival, r-cran-squarem
Recommends: r-cran-testthat (>= 0.11), r-cran-lme4, r-cran-mets (>= 1.1)
Suggests: r-cran-kernsmooth, r-cran-matrix, r-cran-data.table, r-cran-ellipse, r-cran-fields, r-cran-foreach, r-cran-geepack, r-bioc-graph, r-cran-knitr, r-cran-bookdown, r-cran-rmarkdown, r-cran-igraph (>= 0.6), r-cran-lavasearch2, r-cran-magrittr, r-cran-nlme, r-cran-optimx, r-cran-polycor, r-cran-quantreg, r-cran-rgl, r-cran-zoo
Filename: pool/universe/r/r-cran-lava/r-cran-lava_1.6.8.1-1_all.deb
Size: 2442236
MD5sum: bf7c90bb833c95c4390e80560adbb5bd
SHA1: 2e5f0fd354f4b6d3f451dfed2dd5514429a02c3c
SHA256: d90301cd6b0cfd40dc7b7576b5afd09bfd392c534f7414a4b47dac8cbc208811
SHA512: f9a441395a941b9255f070432937e8f4cbace98115cf5b764356f911acb780537519756c6a0a95ee521d76d9f0747936cd492670dddff3ce675883b456b0d140
Homepage: https://cran.r-project.org/package=lava
Description-en: GNU R latent variable models
A general implementation of Structural Equation Models
with latent variables (MLE, 2SLS, and composite likelihood
estimators) with both continuous, censored, and ordinal
outcomes (Holst and Budtz-Joergensen (2013)
). The package also provides
methods for graph exploration (d-separation, back-door criterion),
simulation of general non-linear latent variable models, and
estimation of influence functions for a broad range of statistical
models.
Description-md5: c512b4e87f394d0391d07ed467abc0fc