Environmental health studies are increasingly measuring multiple pollutants to characterize the joint health effects attributable to exposure mixtures. However, the underlying dose-response relationship between toxicants and health outcomes of interest may be highly nonlinear, with possible nonlinear interaction effects. Hierarchical integrative group least absolute shrinkage and selection operator (HiGLASSO), developed by Boss et al (2020) <arXiv:2003.12844>, is a general framework to identify noteworthy nonlinear main and interaction effects in the presence of group structures among a set of exposures.
| Version: | 0.9.0 |
| Depends: | R (≥ 3.5.0) |
| Imports: | gcdnet, gglasso, purrr, splines, Rcpp |
| LinkingTo: | Rcpp, RcppArmadillo |
| Suggests: | knitr, rmarkdown, testthat |
| Published: | 2020-05-25 |
| Author: | Alexander Rix [aut, cre], Jonathan Boss [aut] |
| Maintainer: | Alexander Rix <alexrix at umich.edu> |
| License: | GPL-3 |
| NeedsCompilation: | yes |
| Materials: | README NEWS |
| CRAN checks: | higlasso results |
| Reference manual: | higlasso.pdf |
| Vignettes: |
Hierarchical Integrative Group LASSO |
| Package source: | higlasso_0.9.0.tar.gz |
| Windows binaries: | r-devel: higlasso_0.9.0.zip, r-release: higlasso_0.9.0.zip, r-oldrel: higlasso_0.9.0.zip |
| macOS binaries: | r-release: higlasso_0.9.0.tgz, r-oldrel: higlasso_0.9.0.tgz |
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