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 van Wieringen & Peeters (2016) <doi:10.1016/j.csda.2016.05.012> and associated publications.

Version: 2.2.5
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: 2021-06-07
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_2.2.5.tar.gz
Windows binaries: r-devel: rags2ridges_2.2.5.zip, r-devel-UCRT: rags2ridges_2.2.5.zip, r-release: rags2ridges_2.2.5.zip, r-oldrel: rags2ridges_2.2.5.zip
macOS binaries: r-release (arm64): rags2ridges_2.2.5.tgz, r-release (x86_64): rags2ridges_2.2.5.tgz, r-oldrel: rags2ridges_2.2.5.tgz
Old sources: rags2ridges archive

Reverse dependencies:

Reverse depends: ragt2ridges

Linking:

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