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rags2ridges: Ridge Estimation of Precision Matrices from High-Dimensional Data

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: 2.2.7
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: 2023-10-14
DOI: 10.32614/CRAN.package.rags2ridges
Author: Carel F.W. Peeters ORCID iD [aut, cre, cph], Anders Ellern Bilgrau ORCID iD [aut, cph], Wessel N. van Wieringen ORCID 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.pdf
Vignettes: Introduction to rags2ridges

Downloads:

Package source: rags2ridges_2.2.7.tar.gz
Windows binaries: r-devel: rags2ridges_2.2.7.zip, r-release: rags2ridges_2.2.7.zip, r-oldrel: rags2ridges_2.2.7.zip
macOS binaries: r-release (arm64): rags2ridges_2.2.7.tgz, r-oldrel (arm64): rags2ridges_2.2.7.tgz, r-release (x86_64): rags2ridges_2.2.7.tgz, r-oldrel (x86_64): rags2ridges_2.2.7.tgz
Old sources: rags2ridges archive

Reverse dependencies:

Reverse suggests: porridge

Linking:

Please use the canonical form https://CRAN.R-project.org/package=rags2ridges to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.