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, <doi:10.1101/445304>.
Version: | 0.1.0 |
Depends: | R (≥ 3.4.0) |
Imports: | glmnet, gglasso, methods |
Suggests: | grpreg, truncnorm, foreach, doParallel, testthat, covr, vdiffr, knitr, rmarkdown |
Published: | 2019-12-13 |
Author: | Sahir Bhatnagar [aut, cre] (http://sahirbhatnagar.com/), Yi Yang [aut] (http://www.math.mcgill.ca/yyang/), Celia Greenwood [aut] (https://www.mcgill.ca/statisticalgenetics/) |
Maintainer: | Sahir Bhatnagar <sahir.bhatnagar at gmail.com> |
BugReports: | https://github.com/sahirbhatnagar/sail/issues |
License: | MIT + file LICENSE |
URL: | https://sahirbhatnagar.com/sail |
NeedsCompilation: | no |
Materials: | README NEWS |
CRAN checks: | sail results |
Reference manual: | sail.pdf |
Vignettes: |
Introduction to the sail package Supplying a User Defined Design Matrix |
Package source: | sail_0.1.0.tar.gz |
Windows binaries: | r-devel: sail_0.1.0.zip, r-release: sail_0.1.0.zip, r-oldrel: sail_0.1.0.zip |
macOS binaries: | r-release: sail_0.1.0.tgz, r-oldrel: sail_0.1.0.tgz |
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