Package: AdaptiveGlasso 1.0.0

Elizabeth B. Amona

AdaptiveGlasso: Adaptive Graphical Lasso for Sparse Network Estimation

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.

Authors:Elizabeth B. Amona [aut, cre, cph]

AdaptiveGlasso_1.0.0.tar.gz
AdaptiveGlasso_1.0.0.zip(r-4.7-any)AdaptiveGlasso_1.0.0.zip(r-4.6-any)
AdaptiveGlasso_1.0.0.tar.gz(r-4.7-any)AdaptiveGlasso_1.0.0.tar.gz(r-4.6-any)
AdaptiveGlasso_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
AdaptiveGlasso/json (API)

# Install 'AdaptiveGlasso' in R:
install.packages('AdaptiveGlasso', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/elizabethamona/adaptiveglasso/issues

On CRAN:

Conda:

1.70 score 1 exports 31 dependencies

Last updated from:e28f9c16fc. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK99
source / vignettesOK145
linux-releaseOK98
windows-develOK57
windows-releaseOK58
wasm-releaseOK88

Exports:adaptive_glasso

Dependencies:clicodetoolscpp11CVglassodoParalleldplyrfarverforeachgenericsggplot2glassogluegtableisobanditeratorslabelinglifecyclemagrittrpillarpkgconfigR6RColorBrewerrlangS7scalestibbletidyselectutf8vctrsviridisLitewithr