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sglasso
View on CRAN: Click
here
Download and install sglasso package within the R console
Install from CRAN:
install.packages("sglasso")
Install from Github:
library("remotes")
install_github("cran/sglasso") Install by package version:
library("remotes")
install_version("sglasso", "1.2.6") Attach the package and use:
library("sglasso")
Maintained by
Luigi Augugliaro
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2014-04-23
Latest Update: 2023-12-03
Description:
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.
How to cite:
Luigi Augugliaro (2014). sglasso: Lasso Method for RCON(V,E) Models. R package version 1.2.6, https://cran.r-project.org/web/packages/sglasso. Accessed 02 Nov. 2026.
Previous versions and publish date:
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Other R packages that sglasso depends,
imports, suggests or enhances
Complete documentation for sglasso
Functions, R codes and Examples using
the sglasso R package
Some associated functions: Kh . fglasso . gplot.fglasso . gplot . gplot.sglasso . klcv . loglik . neisseria . plot.klcv . plot.sglasso . sglasso-internal . sglasso-package . sglasso . summary.sglasso .
Some associated R codes: Kh.R . fglasso.R . fglasso_model2mask.R . gplot.R . gplot.fglasso.R . gplot.sglasso.R . klcv.R . loglik.R . make_action.R . make_sglasso.R . mask2Te.R . mask2Tv.R . plot.klcv.R . plot.sglasso.R . print.klcv.R . print.sglasso.R . setDiff.R . sglasso.R . sglasso.fit.R . summary.sglasso.R . theta2Kh.R . zero.R . Full sglasso package functions and examples
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