higlasso: Hierarchical Integrative Group LASSO

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) <doi:10.48550/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
DOI: 10.32614/CRAN.package.higlasso
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 (arm64): higlasso_0.9.0.tgz, r-oldrel (arm64): higlasso_0.9.0.tgz, r-release (x86_64): higlasso_0.9.0.tgz, r-oldrel (x86_64): higlasso_0.9.0.tgz

Reverse dependencies:

Reverse imports: CompMix


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