Package: GGMridge
Type: Package
Title: Gaussian Graphical Models Using Ridge Penalty Followed by
        Thresholding and Reestimation
Version: 1.5
Date: 2025-05-03
Author: Min Jin Ha [aut], Shannon T. Holloway [ctb, cre]
Maintainer: Shannon T. Holloway <shannon.t.holloway@gmail.com>
Authors@R: c(person(given = c("Min", "Jin"),
                        family = "Ha",
                        role = c("aut")),
                 person(given = c("Shannon", "T."),
                        family = "Holloway",
                        role = c("ctb", "cre"),
                        email = "shannon.t.holloway@gmail.com"))
Depends: mvtnorm, MASS, stats, graphics
Description: 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).
License: GPL-2
LazyLoad: yes
NeedsCompilation: no
Encoding: UTF-8
RoxygenNote: 7.2.1
Collate: 'EM.mixture.R' 'scaledMat.R' 'svdFunc.R' 'splitSets.R'
        'ne.lambda.cv.R' 'R.separate.ridge.R' 'StructuredEstimate.R'
        'ksStat.R' 'getEfronp.R' 'lambda.TargetD.R' 'lambda.cv.R'
        'transFisher.R' 'lambda.pcut.cv1.R' 'lambda.pcut.cv.R'
        'simulateData.R'
Packaged: 2026-07-18 04:34:45 UTC; root
Repository: https://sth1402.r-universe.dev
Date/Publication: 2025-05-03 19:30:05 UTC
RemoteUrl: https://github.com/cran/GGMridge
RemoteRef: HEAD
RemoteSha: 41204b6c7b7562dc161887123c6d9bc90bbfb6a7