Package: GGMncv Type: Package Title: Gaussian Graphical Models with Nonconvex Regularization Version: 2.1.1.9000 Date: 2026-4-28 Authors@R: c(person("Donald", "Williams", email = "drwwilliams@ucdavis.edu", role = "aut"), person("Philippe", "Rast", email = "rast.ph@gmail.com", role = c("cre"))) Description: Estimate Gaussian graphical models with nonconvex penalties , including the atan Wang and Zhu (2016) , seamless L0 Dicker, Huang, and Lin (2013) , exponential Wang, Fan, and Zhu , smooth integration of counting and absolute deviation Lv and Fan (2009) , logarithm Mazumder, Friedman, and Hastie (2011) , Lq, smoothly clipped absolute deviation Fan and Li (2001) , and minimax concave penalty Zhang (2010) . There are also extensions for computing variable inclusion probabilities, multiple regression coefficients, and statistical inference . License: GPL-2 Depends: R (>= 4.0.0) Imports: Rcpp (>= 1.0.4.6), Rdpack (>= 0.11-1), reshape, GGally (>= 1.4.0), ggplot2 (>= 3.3.0), glassoFast (>= 1.0), network (>= 1.15), numDeriv (>= 2016.8-1.1), mathjaxr (>= 1.0-1), MASS (>= 7.3-51.5), methods, parallel, pbapply, sna (>= 2.5), stats, utils Suggests: car, corpcor, corrplot, dplyr, NetworkToolbox, NetworkComparisonTest, nlshrink, rmarkdown, knitr Encoding: UTF-8 LazyData: true RoxygenNote: 7.3.2 LinkingTo: Rcpp, RcppArmadillo RdMacros: Rdpack, mathjaxr BugReports: https://github.com/rast-lab/GGMncv/issues VignetteBuilder: knitr Config/pak/sysreqs: libicu-dev libssl-dev Repository: https://rast-lab.r-universe.dev Date/Publication: 2026-04-29 04:10:56 UTC RemoteUrl: https://github.com/rast-lab/ggmncv RemoteRef: HEAD RemoteSha: 967f7b42fdfefcb3e584fcb27c86a27d8d5e5510 NeedsCompilation: yes Packaged: 2026-06-04 07:21:41 UTC; root Author: Donald Williams [aut], Philippe Rast [cre] Maintainer: Philippe Rast