Package: AdaptiveGlasso 1.0.0

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.zip(r-4.5-any)
AdaptiveGlasso_1.0.0.tgz(r-4.6-any)AdaptiveGlasso_1.0.0.tgz(r-4.5-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://elizabethamona.r-universe.dev', 'https://cloud.r-project.org'))

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

On CRAN:

Conda:

2.70 score 1 exports 31 dependencies

Last updated from:3a27aef313. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK128
source / vignettesOK146
linux-releaseOK100
macos-releaseOK163
macos-oldrelOK145
windows-develOK62
windows-releaseOK61
windows-oldrelOK62
wasm-releaseOK82

Exports:adaptive_glasso

Dependencies:clicodetoolscpp11CVglassodoParalleldplyrfarverforeachgenericsggplot2glassogluegtableisobanditeratorslabelinglifecyclemagrittrpillarpkgconfigR6RColorBrewerrlangS7scalestibbletidyselectutf8vctrsviridisLitewithr