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: 2025-05-03 19:10:34 UTC; 19194
Repository: CRAN
Date/Publication: 2025-05-03 19:30:05 UTC
Built: R 4.6.0; ; 2026-04-25 19:14:15 UTC; unix
