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rags2ridges: Ridge Estimation of Precision Matrices from High-DimensionalData

Proper L2-penalized maximum likelihood estimators for precision matrices and supporting functions to employ these estimators in a graphical modeling setting. For details, see Peeters, Bilgrau, & van Wieringen (2022) <doi:10.18637/jss.v102.i04> and associated publications.

Version:2.2.9
Depends:R (≥ 2.15.1)
Imports:igraph, stats, methods,expm,reshape,ggplot2,Hmisc,fdrtool,snowfall,sfsmisc, utils, grDevices, graphics,gRbase,RBGL,graph,Rcpp,RSpectra
LinkingTo:Rcpp,RcppArmadillo
Suggests:KEGGgraph,testthat,knitr,rmarkdown
Published:2025-12-01
DOI:10.32614/CRAN.package.rags2ridges
Author:Carel F.W. PeetersORCID iD [aut, cre, cph], Anders Ellern BilgrauORCID iD [aut, cph], Wessel N. van WieringenORCID iD [aut]
Maintainer:Carel F.W. Peeters <carel.peeters at wur.nl>
License:GPL-2 |GPL-3 [expanded from: GPL (≥ 2)]
URL:https://cfwp.github.io/rags2ridges/,https://github.com/CFWP/rags2ridges
NeedsCompilation:yes
Citation:rags2ridges citation info
Materials:README,NEWS
CRAN checks:rags2ridges results

Documentation:

Reference manual:rags2ridges.html ,rags2ridges.pdf
Vignettes:Introduction to rags2ridges (source,R code)

Downloads:

Package source: rags2ridges_2.2.9.tar.gz
Windows binaries: r-devel:rags2ridges_2.2.9.zip, r-release:rags2ridges_2.2.9.zip, r-oldrel:rags2ridges_2.2.9.zip
macOS binaries: r-release (arm64):rags2ridges_2.2.9.tgz, r-oldrel (arm64):rags2ridges_2.2.9.tgz, r-release (x86_64):rags2ridges_2.2.9.tgz, r-oldrel (x86_64):rags2ridges_2.2.9.tgz
Old sources: rags2ridges archive

Reverse dependencies:

Reverse suggests:porridge

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=rags2ridgesto link to this page.


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