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✨
card.svg |card.png
GGMridge/json (API)
NEWS

# 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 621 downloads 1 mentions 13 exports 2 dependencies

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

TargetResultTimeFilesSyslog
linux-devel-x86_64OK116
source / vignettesOK199
linux-release-x86_64OK101
macos-release-arm64OK104
macos-oldrel-arm64OK87
windows-develOK100
windows-releaseOK70
windows-oldrelOK98
wasm-releaseOK97

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

Dependencies:MASSmvtnorm