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
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b. Install r-sparsenetgls on Arch using YAY
$
yay -S
r-sparsenetgls
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* (Optional) Uninstall r-sparsenetgls on Arch using YAY
$
yay -Rns
r-sparsenetgls
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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
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b. Clone r-sparsenetgls's git locally
$
git clone https://aur.archlinux.org/r-sparsenetgls.git
~/r-sparsenetgls
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c. Go to ~/r-sparsenetgls folder and install it
$
cd
~/r-sparsenetgls
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$
makepkg -si
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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
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