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) <arXiv:2103.13510>.

Version: 1.0.1
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: 2021-06-16
Author: Natalia Zemlianskaia
Maintainer: Natalia Zemlianskaia <natasha.zemlianskaia at gmail.com>
License: MIT + file LICENSE
NeedsCompilation: yes
Materials: README
CRAN checks: gesso results

Downloads:

Reference manual: gesso.pdf
Vignettes: Getting started with 'gesso'
Package source: gesso_1.0.1.tar.gz
Windows binaries: r-devel: gesso_1.0.1.zip, r-devel-UCRT: gesso_1.0.1.zip, r-release: gesso_1.0.1.zip, r-oldrel: gesso_1.0.1.zip
macOS binaries: r-release (arm64): gesso_1.0.1.tgz, r-release (x86_64): gesso_1.0.1.tgz, r-oldrel: gesso_1.0.1.tgz
Old sources: gesso archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=gesso to link to this page.