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sail: 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, <DOI:10.1101/445304>.
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Package details |
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| 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@gmail.com> |
| License | MIT + file LICENSE |
| Version | 0.1.0 |
| URL | https://sahirbhatnagar.com/sail |
| Package repository | View on CRAN |
| Installation |
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