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glinternet  

Learning Interactions via Hierarchical Group-Lasso Regularization
View on CRAN: Click here


Download and install glinternet package within the R console
Install from CRAN:
install.packages("glinternet")

Install from Github:
library("remotes")
install_github("cran/glinternet")

Install by package version:
library("remotes")
install_version("glinternet", "1.0.12")



Attach the package and use:
library("glinternet")
Maintained by
Michael Lim
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2013-08-17
Latest Update: 2021-09-03
Description:
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) .
How to cite:
Michael Lim (2013). glinternet: Learning Interactions via Hierarchical Group-Lasso Regularization. R package version 1.0.12, https://cran.r-project.org/web/packages/glinternet. Accessed 05 Mar. 2026.
Previous versions and publish date:
0.9.0 (2013-08-17 09:48), 1.0.0 (2015-03-30 07:36), 1.0.1 (2016-11-14 11:32), 1.0.2 (2016-12-02 08:09), 1.0.3 (2017-01-01 10:09), 1.0.4 (2017-06-15 15:39), 1.0.5 (2017-07-04 22:38), 1.0.6 (2017-11-30 01:18), 1.0.7 (2018-02-16 00:15), 1.0.8 (2018-06-15 08:13), 1.0.9 (2019-06-12 07:50), 1.0.10 (2019-07-03 07:00), 1.0.11 (2020-10-10 07:10)
Other packages that cited glinternet R package
View glinternet citation profile
Other R packages that glinternet depends, imports, suggests or enhances
Complete documentation for glinternet
Functions, R codes and Examples using the glinternet R package
Some associated functions: coef.glinternet . glinternet.cv . glinternet . plot.glinternet.cv . predict.glinternet.cv . predict.glinternet . 
Some associated R codes: onAttach.R .  Full glinternet package functions and examples
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