Package: LassoNet 0.8.3

LassoNet: 3CoSE Algorithm

Contains functions to estimate a penalized regression model using 3CoSE algorithm, see Weber, Striaukas, Schumacher Binder (2018) <doi:10.2139/ssrn.3211163>.

Authors:Jonas Striaukas [aut, trl, cre] and Matthias Weber [aut]

LassoNet_0.8.3.tar.gz
LassoNet_0.8.3.zip(r-4.7)LassoNet_0.8.3.zip(r-4.6)LassoNet_0.8.3.zip(r-4.5)
LassoNet_0.8.3.tgz(r-4.6-x86_64)LassoNet_0.8.3.tgz(r-4.6-arm64)LassoNet_0.8.3.tgz(r-4.5-x86_64)LassoNet_0.8.3.tgz(r-4.5-arm64)
LassoNet_0.8.3.tar.gz(r-4.7-arm64)LassoNet_0.8.3.tar.gz(r-4.7-x86_64)LassoNet_0.8.3.tar.gz(r-4.6-arm64)LassoNet_0.8.3.tar.gz(r-4.6-x86_64)
LassoNet_0.8.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
LassoNet/json (API)

# Install 'LassoNet' in R:
install.packages('LassoNet', repos = c('https://jstriaukas.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

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

cpp

1.70 score 173 downloads 11 exports 1 dependencies

Last updated from:6206114474. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK120
linux-devel-x86_64OK133
source / vignettesOK185
linux-release-arm64OK108
linux-release-x86_64OK104
macos-release-arm64OK130
macos-release-x86_64OK212
macos-oldrel-arm64OK145
macos-oldrel-x86_64OK310
windows-develOK97
windows-releaseOK84
windows-oldrelOK90
wasm-releaseOK96

Exports:beta.update.netbetanew_lasso_cppfastolsget.BxByget.signs.Mget.xilasso.net.fixedlasso.net.gridmat.to.laplacianmatrix.M.updatesoft.thresh

Dependencies:Rcpp