Sparse Additive Interaction Learning

Sparse additive interaction learning with the strong heredity property, i.e., an interaction is selected only if its corresponding main effects are also included. Fits a linear model with non-linear interactions via penalized maximum likelihood. Interactions are limited to a single exposure or environment variable. For more information, see the website below and the accompanying paper: Bhatnagar et al., "A sparse additive model for high-dimensional interactions with an exposure variable", 2019, .


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.


0.1.0 by Sahir Bhatnagar, a year ago

Report a bug at

Browse source code at

Authors: Sahir Bhatnagar [aut, cre] ( , Yi Yang [aut] ( , Celia Greenwood [aut] (

Documentation:   PDF Manual  

MIT + file LICENSE license

Imports glmnet, gglasso, methods

Suggests grpreg, truncnorm, foreach, doParallel, testthat, covr, vdiffr, knitr, rmarkdown

See at CRAN