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

Proper L2-penalized ML estimators for the precision matrix as well as supporting functions to employ these estimators in a graphical modeling setting.

Version: 2.2.2
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
Published: 2019-12-17
Author: Carel F.W. Peeters [cre, aut], Anders Ellern Bilgrau [aut], Wessel N. van Wieringen [aut]
Maintainer: Carel F.W. Peeters <cf.peeters at vumc.nl>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/CFWP/rags2ridges
NeedsCompilation: yes
Citation: rags2ridges citation info
Materials: README NEWS
CRAN checks: rags2ridges results

Downloads:

Reference manual: rags2ridges.pdf
Package source: rags2ridges_2.2.2.tar.gz
Windows binaries: r-devel: rags2ridges_2.2.2.zip, r-release: rags2ridges_2.2.2.zip, r-oldrel: rags2ridges_2.2.2.zip
macOS binaries: r-release: rags2ridges_2.2.2.tgz, r-oldrel: rags2ridges_2.2.2.tgz
Old sources: rags2ridges archive

Reverse dependencies:

Reverse depends: ragt2ridges

Linking:

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