Package: bolasso 0.3.0

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]

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NEWS

# 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 site:https://www.dmolitor.com

Datasets:

On CRAN:

Conda:

bolassobootstraplassovariable-selection

4.00 score 4 stars 7 scripts 329 downloads 1 mentions 7 exports 45 dependencies

Last updated 3 months agofrom:b694f083d7. Checks:5 OK, 3 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 19 2025
R-4.5-winNOTEFeb 19 2025
R-4.5-macNOTEFeb 19 2025
R-4.5-linuxNOTEFeb 19 2025
R-4.4-winOKFeb 19 2025
R-4.4-macOKFeb 19 2025
R-4.3-winOKFeb 19 2025
R-4.3-macOKFeb 19 2025

Exports:bolassoplot_selected_variablesplot_selection_thresholdsselected_variablesselected_varsselection_thresholdstidy

Dependencies:clicodetoolscolorspacedigestfansifarverforeachfuturefuture.applygamlrgenericsggplot2glmnetglobalsgluegtableisobanditeratorslabelinglatticelifecyclelistenvmagrittrMASSMatrixmgcvmunsellnlmeparallellypillarpkgconfigprogressrR6RColorBrewerRcppRcppEigenrlangscalesshapesurvivaltibbleutf8vctrsviridisLitewithr