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, .


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install.packages("sail")

0.1.0 by Sahir Bhatnagar, 10 months ago


https://sahirbhatnagar.com/sail


Report a bug at https://github.com/sahirbhatnagar/sail/issues


Browse source code at https://github.com/cran/sail


Authors: Sahir Bhatnagar [aut, cre] (http://sahirbhatnagar.com/) , Yi Yang [aut] (http://www.math.mcgill.ca/yyang/) , Celia Greenwood [aut] (https://www.mcgill.ca/statisticalgenetics/)


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports glmnet, gglasso, methods

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


See at CRAN