sglasso: Lasso method for RCON(V,E) models

RCON(V, E) models (Hojsgaard, et al., 2008) 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 Augugliaro 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) algorithm and a cyclic coordinate descent (CCD) algorithm.

Version: 1.0-1
Depends: Matrix
Published: 2014-06-17
Author: Luigi Augugliaro
Maintainer: Luigi Augugliaro <luigi.augugliaro at unipa.it>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Materials: ChangeLog
CRAN checks: sglasso results

Downloads:

Reference manual: sglasso.pdf
Package source: sglasso_1.0-1.tar.gz
Windows binaries: r-devel: sglasso_1.0-1.zip, r-release: sglasso_1.0-1.zip, r-oldrel: sglasso_1.0-1.zip
OS X Snow Leopard binaries: r-release: sglasso_1.0-1.tgz, r-oldrel: sglasso_1.0-1.tgz
OS X Mavericks binaries: r-release: sglasso_1.0-1.tgz
Old sources: sglasso archive