Package: AdaptiveGlasso
Title: Adaptive Graphical Lasso for Sparse Network Estimation
Version: 1.0.0
Authors@R: 
    person(
        given = "Elizabeth B.",
        family = "Amona",
        email = "amonaelizabeth1@gmail.com",
        role = c("aut", "cre", "cph"),
        comment = c(ORCID = "0000-0002-7575-788X")
    )
Description: Implements an adaptive graphical lasso method for sparse
    precision matrix and network estimation. The method combines ridge
    stabilization, cross-validated regularization, an initial graphical
    lasso estimate, and adaptive edge-specific penalties to estimate
    sparse conditional dependence structures. The method supports
    settings where the sample size is smaller than, equal to, or larger
    than the number of variables.
URL: https://github.com/elizabethamona/AdaptiveGlasso
BugReports: https://github.com/elizabethamona/AdaptiveGlasso/issues
License: MIT + file LICENSE
Encoding: UTF-8
RoxygenNote: 7.3.3
Imports: CVglasso, glasso
Suggests: testthat (>= 3.0.0)
Config/testthat/edition: 3
NeedsCompilation: no
Packaged: 2026-10-13 04:39:31 UTC; amona
Author: Elizabeth B. Amona [aut, cre, cph] (ORCID:
    <https://orcid.org/0000-0002-7575-788X>)
Maintainer: Elizabeth B. Amona <amonaelizabeth1@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-24 08:40:09 UTC
