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.

Version: 0.0.1
Imports: MASS
Suggests: testthat (≥ 3.0.0)
Published: 2026-04-28
DOI: 10.32614/CRAN.package.rgml0
Author: Mahdieh Farzin Asanjan [aut, cre], Vilda Purutcuoglu [aut], Ernst Wit [aut]
Maintainer: Mahdieh Farzin Asanjan <mah.farzin2010 at gmail.com>
License: MIT + file LICENSE
NeedsCompilation: no
CRAN checks: rgml0 results

Documentation:

Reference manual: rgml0.html , rgml0.pdf

Downloads:

Package source: rgml0_0.0.1.tar.gz
Windows binaries: r-devel: rgml0_0.0.1.zip, r-release: rgml0_0.0.1.zip, r-oldrel: rgml0_0.0.1.zip
macOS binaries: r-release (arm64): rgml0_0.0.1.tgz, r-oldrel (arm64): rgml0_0.0.1.tgz, r-release (x86_64): not available, r-oldrel (x86_64): not available

Linking:

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