Package: glinternet 1.0.12

Michael Lim

glinternet: Learning Interactions via Hierarchical Group-Lasso Regularization

Group-Lasso INTERaction-NET. Fits linear pairwise-interaction models that satisfy strong hierarchy: if an interaction coefficient is estimated to be nonzero, then its two associated main effects also have nonzero estimated coefficients. Accommodates categorical variables (factors) with arbitrary numbers of levels, continuous variables, and combinations thereof. Implements the machinery described in the paper "Learning interactions via hierarchical group-lasso regularization" (JCGS 2015, Volume 24, Issue 3). Michael Lim & Trevor Hastie (2015) <doi:10.1080/10618600.2014.938812>.

Authors:Michael Lim, Trevor Hastie

glinternet_1.0.12.tar.gz
glinternet_1.0.12.tar.gz(r-4.5-noble)glinternet_1.0.12.tar.gz(r-4.4-noble)
glinternet_1.0.12.tgz(r-4.4-emscripten)glinternet_1.0.12.tgz(r-4.3-emscripten)
glinternet.pdf |glinternet.html
glinternet/json (API)

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

Peer review:

Uses libs:
  • openmp– GCC OpenMP (GOMP) support library

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

openmp

4.41 score 12 stars 2 packages 41 scripts 1.7k downloads 5 mentions 2 exports 0 dependencies

Last updated 3 years agofrom:67a32a33d0. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKDec 01 2024
R-4.5-linux-x86_64OKDec 01 2024

Exports:glinternetglinternet.cv

Dependencies: