Package: GGMridge 1.5

GGMridge: Gaussian Graphical Models Using Ridge Penalty Followed by Thresholding and Reestimation

Estimation of partial correlation matrix using ridge penalty followed by thresholding and reestimation. Under multivariate Gaussian assumption, the matrix constitutes an Gaussian graphical model (GGM).

Authors:Min Jin Ha [aut], Shannon T. Holloway [ctb, cre]

GGMridge_1.5.tar.gz
GGMridge_1.5.zip(r-4.7)GGMridge_1.5.zip(r-4.6)GGMridge_1.5.zip(r-4.5)
GGMridge_1.5.tgz(r-4.6-any)GGMridge_1.5.tgz(r-4.5-any)
GGMridge_1.5.tar.gz(r-4.7-any)GGMridge_1.5.tar.gz(r-4.6-any)
GGMridge_1.5.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
GGMridge/json (API)

# Install 'GGMridge' in R:
install.packages('GGMridge', repos = c('https://sth1402.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.89 score 2 packages 13 scripts 444 downloads 1 mentions 13 exports 2 dependencies

Last updated from:41204b6c7b. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK128
source / vignettesOK171
linux-release-x86_64OK110
macos-release-arm64OK74
macos-oldrel-arm64OK101
windows-develOK90
windows-releaseOK81
windows-oldrelOK79
wasm-releaseOK92

Exports:EM.mixturegetEfronpksStatlambda.cvlambda.pcut.cvlambda.pcut.cv1lambda.TargetDne.lambda.cvR.separate.ridgescaledMatsimulateDatastructuredEstimatetransFisher

Dependencies:MASSmvtnorm