Package: bolasso 0.3.0

Daniel Molitor

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_0.3.0.tar.gz
bolasso_0.3.0.tar.gz(r-4.5-noble)bolasso_0.3.0.tar.gz(r-4.4-noble)
bolasso_0.3.0.tgz(r-4.4-emscripten)bolasso_0.3.0.tgz(r-4.3-emscripten)
bolasso.pdf |bolasso.html
bolasso/json (API)
NEWS

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

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

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

Datasets:

On CRAN:

Conda:

1.70 score 352 downloads 1 mentions 7 exports 45 dependencies

Last updated 4 months agofrom:ad03aa2d4a. Checks:2 OK, 1 NOTE. Indexed: no.

TargetResultLatest binary
Doc / VignettesOKMar 09 2025
R-4.5-linuxNOTEMar 09 2025
R-4.4-linuxOKMar 09 2025

Exports:bolassoplot_selected_variablesplot_selection_thresholdsselected_variablesselected_varsselection_thresholdstidy

Dependencies:clicodetoolscolorspacedigestfansifarverforeachfuturefuture.applygamlrgenericsggplot2glmnetglobalsgluegtableisobanditeratorslabelinglatticelifecyclelistenvmagrittrMASSMatrixmgcvmunsellnlmeparallellypillarpkgconfigprogressrR6RColorBrewerRcppRcppEigenrlangscalesshapesurvivaltibbleutf8vctrsviridisLitewithr