Package: rgml0
Type: Package
Title: Random Graphical Model Estimation under L0 Penalty
Version: 0.0.1
Authors@R: c(
    person("Mahdieh Farzin", "Asanjan",
           email = "mah.farzin2010@gmail.com",
           role = c("aut", "cre")),
    person("Vilda", "Purutcuoglu",
           email = "vpurutcu@metu.edu.tr",
           role = "aut"),
    person("Ernst", "Wit",
           role = "aut")
 )
Description: 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.
License: MIT + file LICENSE
Encoding: UTF-8
RoxygenNote: 7.3.3
Imports: MASS
Suggests: testthat (>= 3.0.0)
Config/testthat/edition: 3
NeedsCompilation: no
Packaged: 2026-04-26 18:43:47 UTC; Matan
Author: Mahdieh Farzin Asanjan [aut, cre],
  Vilda Purutcuoglu [aut],
  Ernst Wit [aut]
Maintainer: Mahdieh Farzin Asanjan <mah.farzin2010@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-28 19:40:07 UTC
