Package: lars 1.3

lars: Least Angle Regression, Lasso and Forward Stagewise

Efficient procedures for fitting an entire lasso sequence with the cost of a single least squares fit. Least angle regression and infinitesimal forward stagewise regression are related to the lasso, as described in the paper below.

Authors:Trevor Hastie <[email protected]> and Brad Efron <[email protected]>

lars_1.3.tar.gz
lars_1.3.zip(r-4.7)lars_1.3.zip(r-4.6)lars_1.3.zip(r-4.5)
lars_1.3.tgz(r-4.6-x86_64)lars_1.3.tgz(r-4.6-arm64)lars_1.3.tgz(r-4.5-x86_64)lars_1.3.tgz(r-4.5-arm64)
lars_1.3.tar.gz(r-4.7-arm64)lars_1.3.tar.gz(r-4.7-x86_64)lars_1.3.tar.gz(r-4.6-arm64)lars_1.3.tar.gz(r-4.6-x86_64)
lars_1.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
lars/json (API)

# Install 'lars' in R:
install.packages('lars', repos = c('https://trevorhastie.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • diabetes - Blood and other measurements in diabetics

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

8.35 score 6 stars 74 packages 1.0k scripts 16k downloads 29 mentions 16 exports 0 dependencies

Last updated from:b2e7a9036b. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK99
linux-devel-x86_64OK84
source / vignettesOK134
linux-release-arm64OK99
linux-release-x86_64OK100
macos-release-arm64OK77
macos-release-x86_64OK139
macos-oldrel-arm64OK68
macos-oldrel-x86_64OK272
windows-develOK79
windows-releaseOK66
windows-oldrelOK83
wasm-releaseOK84

Exports:backsolvetbetabreakercoef.larscv.foldscv.larsdelcoldowndateRerror.barslarsnnls.larsplot.larsplotCVLarspredict.larsprint.larssummary.larsupdateR

Dependencies: