Package: rgml0 0.0.1

rgml0: Random Graphical Model Estimation under L0 Penalty

Provides functions for estimating sparse precision matrices using a random graphical model framework under an L0-style penalty. The method evaluates candidate theta values and returns both continuous and binary precision matrices representing inferred network structures.

Authors:Mahdieh Farzin Asanjan [aut, cre], Vilda Purutcuoglu [aut], Ernst Wit [aut]

rgml0_0.0.1.tar.gz
rgml0_0.0.1.zip(r-4.7)rgml0_0.0.1.zip(r-4.6)rgml0_0.0.1.zip(r-4.5)
rgml0_0.0.1.tgz(r-4.6-any)rgml0_0.0.1.tgz(r-4.5-any)
rgml0_0.0.1.tar.gz(r-4.7-any)rgml0_0.0.1.tar.gz(r-4.6-any)
rgml0_0.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
rgml0/json (API)

# Install 'rgml0' in R:

install.packages('rgml0', repos = c('https://mahfarzin.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 449 downloads 1 exports 1 dependencies

Last updated from:ba73e49fa2. Checks:6 OK, 3 FAIL. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	82
source / vignettes	OK	178
linux-release-x86_64	OK	104
macos-release-arm64	FAIL	47
macos-oldrel-arm64	FAIL	55
windows-devel	OK	80
windows-release	FAIL	48
windows-oldrel	OK	97
wasm-release	OK	98