gicf-package | R Documentation |
Penalised likelihood estimation of a covariance matrix via the ridge-regularised covglasso estimator described in Cibinel et al. (2024) <doi:10.48550/arXiv.2410.02403>. Based on the 'C++' code of the 'R' package 'covglasso' (by Michael Fop, <https://orcid.org/0000-0003-3936-2757>) and the 'R' code of 'icf' (by Mathias Drton, <https://orcid.org/0000-0001-5614-3025>) within the 'R' package 'ggm'.
This package optimises the penalised loglikelihood function of a Gaussian covariance graphical model via an iterative coordinate descent algorithm.
Luca Cibinel [cre, aut] (ORCID: <https://orcid.org/0009-0009-1274-8327>), Alberto Roverato [aut] (ORCID: <https://orcid.org/0000-0001-7984-3593>), Veronica Vinciotti [aut] (ORCID: <https://orcid.org/0000-0002-2625-7977>)
Maintainer: Luca Cibinel <lcibinel@gmail.com>
Cibinel, L., A. Roverato, and V. Vinciotti (2024). A unified approach to penalized likelihood estimation of covariance matrices in high dimensions. arXiv, arXiv:2410.02403.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.