Package: lassoshooting 0.1.5-1.1

Tobias Abenius

lassoshooting: L1 Regularized Regression (Lasso) Solver using the Cyclic Coordinate Descent Algorithm aka Lasso Shooting

L1 regularized regression (Lasso) solver using the Cyclic Coordinate Descent algorithm aka Lasso Shooting is fast. This implementation can choose which coefficients to penalize. It support coefficient-specific penalties and it can take X'X and X'y instead of X and y.

Authors:Tobias Abenius <[email protected]>

lassoshooting_0.1.5-1.1.tar.gz
lassoshooting_0.1.5-1.1.tar.gz(r-4.5-noble)lassoshooting_0.1.5-1.1.tar.gz(r-4.4-noble)
lassoshooting_0.1.5-1.1.tgz(r-4.4-emscripten)lassoshooting_0.1.5-1.1.tgz(r-4.3-emscripten)
lassoshooting.pdf |lassoshooting.html
lassoshooting/json (API)

# Install 'lassoshooting' in R:
install.packages('lassoshooting', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • openblas– Optimized BLAS

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

2.42 score 4 packages 22 scripts 268 downloads 1 mentions 2 exports 0 dependencies

Last updated 3 years agofrom:afc3651b9a. Checks:OK: 1 WARNING: 1. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 13 2024
R-4.5-linux-x86_64WARNINGNov 13 2024

Exports:lassoshootingsoftthresh

Dependencies:

Readme and manuals

Help Manual

Help pageTopics
Lasso Shootinglassoshooting
Soft Thresholdsoftthresh