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 |
| Reference manual: | rgml0.html , rgml0.pdf |
| 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): rgml0_0.0.1.tgz, r-oldrel (x86_64): rgml0_0.0.1.tgz |
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