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 (may not be active yet)
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: not available, r-release: not available, r-oldrel: not available
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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