Package: GGMridge 1.4

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, cre], Shannon T. Holloway [ctb]

GGMridge_1.4.tar.gz
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GGMridge.pdf |GGMridge.html✨
GGMridge/json (API)
NEWS

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

Peer review:

On CRAN:

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 230 downloads 1 mentions 13 exports 2 dependencies

Last updated 12 months agofrom:c01a137a5e. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 18 2024
R-4.5-winOKNov 18 2024
R-4.5-linuxOKNov 18 2024
R-4.4-winOKNov 18 2024
R-4.4-macOKNov 18 2024
R-4.3-winOKNov 18 2024
R-4.3-macOKNov 18 2024

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

Dependencies:MASSmvtnorm