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

Last updated: November 26,2024

1. Install "r-cran-qgraph" package

Here is a brief guide to show you how to install r-cran-qgraph on Ubuntu 20.10 (Groovy Gorilla)

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

2. Uninstall "r-cran-qgraph" package

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

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

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

Package: r-cran-qgraph
Architecture: amd64
Version: 1.6.5-1build1
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: 769
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-rcpp (>= 1.0.0), r-cran-psych, r-cran-lavaan, r-cran-plyr, r-cran-hmisc, r-cran-igraph, r-cran-jpeg, r-cran-png, r-cran-colorspace, r-cran-matrix, r-cran-corpcor, r-cran-reshape2, r-cran-ggplot2, r-cran-glasso, r-cran-huge, r-cran-fdrtool, r-cran-d3network, r-cran-gtools, r-cran-bdgraph, r-cran-pbapply, r-cran-abind, r-cran-dplyr, r-cran-tidygraph, r-cran-ggraph, libc6 (>= 2.29), libgcc-s1 (>= 3.0), libstdc++6 (>= 5.2)
Filename: pool/universe/r/r-cran-qgraph/r-cran-qgraph_1.6.5-1build1_amd64.deb
Size: 652932
MD5sum: f3e765b4dae17d2dd7efd7307bb7d7da
SHA1: 0656e2219aa54d5e038777d6d604051f6a1fc571
SHA256: f47b709430f4a0eee0461e5f14232ce6d031ae63608e18c3aff4987423e869fd
SHA512: 89084bada51e0b64f6c8523d9d0291526a22df4c7eef64a27f0c528e2f5d6fa6387a85e8dd941aff7b6e9fa61aa1f8b5bed384cd8a25c69452d76ddf8c648319
Homepage: https://cran.r-project.org/package=qgraph
Description-en: GNU R graph plotting methods and psychometric data visualization
This GNU R package provides graph plotting methods, psychometric data
visualization and graphical model estimation functions based on
weighted network visualization and analysis, as well as Gaussian graphical
model computation. See Epskamp et al. (2012) .
Description-md5: 1cbd925a57b417950662d42917cc8868