How to Install and Uninstall r-cran-lavasearch2 Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: November 26,2024

1. Install "r-cran-lavasearch2" package

In this section, we are going to explain the necessary steps to install r-cran-lavasearch2 on Ubuntu 20.10 (Groovy Gorilla)

$ sudo apt update $ sudo apt install r-cran-lavasearch2

2. Uninstall "r-cran-lavasearch2" package

Please follow the instructions below to uninstall r-cran-lavasearch2 on Ubuntu 20.10 (Groovy Gorilla):

$ sudo apt remove r-cran-lavasearch2 $ sudo apt autoclean && sudo apt autoremove

3. Information about the r-cran-lavasearch2 package on Ubuntu 20.10 (Groovy Gorilla)

Package: r-cran-lavasearch2
Architecture: amd64
Version: 1.5.5+dfsg-1build1
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: 1263
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-ggplot2, r-cran-lava (>= 1.6.4), r-cran-doparallel, r-cran-mass, r-cran-matrix, r-cran-multcomp, r-cran-mvtnorm, r-cran-nlme, r-cran-rcpp, r-cran-reshape2, r-cran-sandwich, r-cran-rcpparmadillo, libblas3 | libblas.so.3, libc6 (>= 2.29), libgcc-s1 (>= 3.0), liblapack3 | liblapack.so.3, libstdc++6 (>= 9)
Recommends: r-cran-testthat, r-cran-clubsandwich, r-cran-lme4, r-cran-data.table, r-cran-lmertest, r-cran-pbkrtest
Suggests: r-cran-foreach, r-cran-numderiv, r-cran-pbapply, r-cran-survival
Filename: pool/universe/r/r-cran-lavasearch2/r-cran-lavasearch2_1.5.5+dfsg-1build1_amd64.deb
Size: 1005508
MD5sum: e21590767b7ced6b4ce79e754dfcbe59
SHA1: a74a32e56290cf53c3f056649dcc6716eced4531
SHA256: a5782c6743ef111d5ddfbd9e2719ff05c13391d01edbbb033fdad777d298a758
SHA512: 29747861e5b86b9148adc1073aa9b02f8ba8140104b7998ffba7ae4400144ba935427ff9408a60bdb98c4e35f895fa87af4d79b23dfe139b0ed4a89d0ab45e5c
Homepage: https://cran.r-project.org/package=lavaSearch2
Description-en: GNU R tools for model specification in the latent variable framework
Tools for model specification in the latent variable framework (add-on
to the 'lava' package). The package contains three main functionalities:
Wald tests/F-tests with improved control of the type 1 error in small
samples, adjustment for multiple comparisons when searching for local
dependencies, and adjustment for multiple comparisons when doing
inference for multiple latent variable models.
Description-md5: fdff906ed30b43a07260215b5701f469