gesso: Hierarchical GxE Interactions in a Regularized Regression Model

The method focuses on a single environmental exposure and induces a main-effect-before-interaction hierarchical structure for the joint selection of interaction terms in a regularized regression model. For details see Zemlianskaia et al. (2021) <doi:10.48550/arXiv.2103.13510>.

Version: 1.0.2
Depends: dplyr, R (≥ 3.5)
Imports: Rcpp (≥ 1.0.3), Matrix, bigmemory, methods
LinkingTo: Rcpp, RcppEigen, RcppThread, BH, bigmemory
Suggests: glmnet, testthat, knitr, rmarkdown, ggplot2
Published: 2021-11-30
DOI: 10.32614/CRAN.package.gesso
Author: Natalia Zemlianskaia
Maintainer: Natalia Zemlianskaia <natasha.zemlianskaia at>
License: MIT + file LICENSE
NeedsCompilation: yes
Materials: README
CRAN checks: gesso results


Reference manual: gesso.pdf
Vignettes: Getting started with 'gesso'


Package source: gesso_1.0.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): gesso_1.0.2.tgz, r-oldrel (arm64): gesso_1.0.2.tgz, r-release (x86_64): gesso_1.0.2.tgz, r-oldrel (x86_64): gesso_1.0.2.tgz
Old sources: gesso archive


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