Package: bolasso 0.5.0

bolasso: Model Consistent Lasso Estimation Through the Bootstrap

Implements the bolasso algorithm for consistent variable selection and estimation accuracy. Includes support for many parallel backends via the future package. For details see: Bach (2008), 'Bolasso: model consistent Lasso estimation through the bootstrap', <doi:10.48550/arXiv.0804.1302>.

Authors:Daniel Molitor [aut, cre]

bolasso_0.5.0.tar.gz
bolasso_0.5.0.zip(r-4.7-any)bolasso_0.5.0.zip(r-4.6-any)bolasso_0.5.0.zip(r-4.5-any)
bolasso_0.5.0.tgz(r-4.6-any)bolasso_0.5.0.tgz(r-4.5-any)
bolasso_0.5.0.tar.gz(r-4.7-any)bolasso_0.5.0.tar.gz(r-4.6-any)
bolasso_0.5.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
bolasso/json (API)

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

Bug tracker:https://github.com/dmolitor/bolasso/issues

Pkgdown/docs site:https://www.dmolitor.com

Datasets:

On CRAN:

Conda:

bolassobootstraplassovariable-selection

3.95 score 6 stars 7 scripts 413 downloads 1 mentions 8 exports 41 dependencies

Last updated from:3655597688. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK168
source / vignettesOK193
linux-release-x86_64OK158
macos-release-arm64OK151
macos-oldrel-arm64OK140
windows-develOK116
windows-releaseOK112
windows-oldrelOK97
wasm-releaseOK125

Exports:bolassobootstrap_samplesplot_selected_variablesplot_selection_thresholdsselected_variablesselected_varsselection_thresholdstidy

Dependencies:clicodetoolscpp11digestfarverforeachfuturefuture.applygamlrgenericsggplot2glmnetglobalsgluegtableisobanditeratorslabelinglatticelifecyclelistenvmagrittrMatrixparallellypillarpkgconfigprogressrR6RColorBrewerRcppRcppEigenrlangS7scalesshapesurvivaltibbleutf8vctrsviridisLitewithr