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)bolasso_0.5.0.zip(r-4.6)bolasso_0.5.0.zip(r-4.5)
bolasso_0.5.0.tgz(r-4.6-any)bolasso_0.5.0.tgz(r-4.5-any)
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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

3.88 score 5 stars 7 scripts 625 downloads 1 mentions 8 exports 41 dependencies

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

TargetResultTimeFilesSyslog
linux-devel-x86_64OK149
source / vignettesOK169
linux-release-x86_64OK156
macos-release-arm64OK104
macos-oldrel-arm64OK127
windows-develOK119
windows-releaseOK112
windows-oldrelOK115
wasm-releaseOK106

Exports:bolassobootstrap_samplesplot_selected_variablesplot_selection_thresholdsselected_variablesselected_varsselection_thresholdstidy

Dependencies:clicodetoolscpp11digestfarverforeachfuturefuture.applygamlrgenericsggplot2glmnetglobalsgluegtableisobanditeratorslabelinglatticelifecyclelistenvmagrittrMatrixparallellypillarpkgconfigprogressrR6RColorBrewerRcppRcppEigenrlangS7scalesshapesurvivaltibbleutf8vctrsviridisLitewithr