sglasso: Lasso Method for RCON(V,E) Models

RCON(V, E) models are a kind of restriction of the Gaussian Graphical Models defined by a set of equality constraints on the entries of the concentration matrix. 'sglasso' package implements the structured graphical lasso (sglasso) estimator proposed in Abbruzzo et al. (2014) for the weighted l1-penalized RCON(V, E) model. Two cyclic coordinate algorithms are implemented to compute the sglasso estimator, i.e. a cyclic coordinate minimization (CCM) and a cyclic coordinate descent (CCD) algorithm.

Version: 1.2.4
Depends: Matrix, igraph, R (≥ 3.6)
Imports: methods, graphics, grDevices
Published: 2019-12-05
Author: Luigi Augugliaro
Maintainer: Luigi Augugliaro <luigi.augugliaro at unipa.it>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: http://www.unipa.it/persone/docenti/a/luigi.augugliaro
NeedsCompilation: yes
Citation: sglasso citation info
Materials: ChangeLog
CRAN checks: sglasso results

Documentation:

Reference manual: sglasso.pdf

Downloads:

Package source: sglasso_1.2.4.tar.gz
Windows binaries: r-devel: sglasso_1.2.4.zip, r-release: sglasso_1.2.4.zip, r-oldrel: sglasso_1.2.4.zip
macOS binaries: r-release (arm64): sglasso_1.2.4.tgz, r-oldrel (arm64): sglasso_1.2.4.tgz, r-release (x86_64): sglasso_1.2.4.tgz, r-oldrel (x86_64): sglasso_1.2.4.tgz
Old sources: sglasso archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=sglasso to link to this page.