r-sparsenetgls on AUR (Arch User Repository)

Last updated: November 26,2024

1. Install "r-sparsenetgls" effortlessly via AUR with the help of a helper(YAY)

a. Install YAY (https://github.com/Jguer/yay)

$ sudo pacman -S --needed git base-devel && git clone https://aur.archlinux.org/yay.git && cd yay && makepkg -si

b. Install r-sparsenetgls on Arch using YAY

$ yay -S r-sparsenetgls

* (Optional) Uninstall r-sparsenetgls on Arch using YAY

$ yay -Rns r-sparsenetgls

2. Manually Install "r-sparsenetgls" via AUR

a. Ensure you have the base development tools and git installed with:

$ sudo pacman -S --needed base-devel git

b. Clone r-sparsenetgls's git locally

$ git clone https://aur.archlinux.org/r-sparsenetgls.git ~/r-sparsenetgls

c. Go to ~/r-sparsenetgls folder and install it

$ cd ~/r-sparsenetgls $ makepkg -si

3. Information about the r-sparsenetgls package on Arch User Repository (AUR)

ID: 1340566
Name: r-sparsenetgls
PackageBaseID: 182496
PackageBase: r-sparsenetgls
Version: 1.20.0-1
Description: Using Gaussian graphical structue learning estimation in generalized least squared regression for multivariate normal regression
URL: https://bioconductor.org/packages/sparsenetgls
NumVotes: 0
Popularity: 0
OutOfDate:
Maintainer: BioArchLinuxBot
Submitter: BioArchLinuxBot
FirstSubmitted: 1654530384
LastModified: 1698278692
URLPath: /cgit/aur.git/snapshot/r-sparsenetgls.tar.gz