Package: rags2ridges
Type: Package
Title: Ridge Estimation of Precision Matrices from High-Dimensional
        Data
Version: 2.2.4
Maintainer: Carel F.W. Peeters <cf.peeters@vumc.nl>
Author: Carel F.W. Peeters [cre, aut], Anders Ellern Bilgrau [aut], Wessel N. van Wieringen [aut]
Description: 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.
Depends: R (>= 2.15.1)
biocViews:
Imports: igraph, stats, methods, expm, reshape, ggplot2, Hmisc,
        fdrtool, snowfall, sfsmisc, utils, grDevices, graphics, gRbase,
        RBGL, graph, Rcpp, RSpectra
LinkingTo: Rcpp, RcppArmadillo
KeepSource: yes
License: GPL (>= 2)
URL: https://github.com/CFWP/rags2ridges
Suggests: KEGGgraph, testthat
RoxygenNote: 7.1.1
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2020-12-07 15:25:43 UTC; cf.peeters
Repository: CRAN
Date/Publication: 2020-12-08 10:20:06 UTC
Built: R 3.6.3; x86_64-w64-mingw32; 2021-05-12 23:35:37 UTC; windows
Archs: i386, x64
