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: 2026-10-24 11:22:33 UTC; root
Author: Elizabeth B. Amona [aut, cre, cph] (ORCID:
        <https://orcid.org/0000-0002-7575-788X>)
Maintainer: Elizabeth B. Amona <amonaelizabeth1@gmail.com>
Repository: https://cran.r-universe.dev
Date/Publication: 2026-10-24 11:16:56 UTC
RemoteUrl: https://github.com/cran/AdaptiveGlasso
RemoteRef: HEAD
RemoteSha: e28f9c16fc233466d516b2bc3f1cc5f810912814