CRAN/E | rags2ridges

rags2ridges

Ridge Estimation of Precision Matrices from High-Dimensional Data

Installation

About

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.

Citation rags2ridges citation info
cfwp.github.io/rags2ridges/
github.com/CFWP/rags2ridges

Key Metrics

Version 2.2.7
R ≥ 2.15.1
Published 2023-10-14 166 days ago
Needs compilation? yes
License GPL-2
License GPL-3
CRAN checks rags2ridges results

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Maintainer

Maintainer

Carel F.W. Peeters

carel.peeters@wur.nl

Authors

Carel F.W. Peeters

aut / cre / cph

Anders Ellern Bilgrau

aut / cph

Wessel N. van Wieringen

aut

Material

README
NEWS
Reference manual
Package source

Vignettes

Introduction to rags2ridges

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

rags2ridges archive

Depends

R ≥ 2.15.1

Imports

igraph
stats
methods
expm
reshape
ggplot2
Hmisc
fdrtool
snowfall
sfsmisc
utils
grDevices
graphics
gRbase
RBGL
graph
Rcpp
RSpectra

Suggests

KEGGgraph
testthat
knitr
rmarkdown

LinkingTo

Rcpp
RcppArmadillo

Reverse Depends

ragt2ridges

Reverse Suggests

porridge