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 nonlinear 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 highdimensional interactions with an exposure variable", 2019, <DOI:10.1101/445304>.
Package details 


Maintainer  
License  MIT + file LICENSE 
Version  0.1.0 
URL  https://sahirbhatnagar.com/sail 
Package repository  View on GitHub 
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