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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 gmail.com>
License: MIT + file LICENSE
NeedsCompilation: yes
Materials: README
CRAN checks: gesso results

Documentation:

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

Downloads:

Package source: gesso_1.0.2.tar.gz
Windows binaries: r-devel: gesso_1.0.2.zip, r-release: gesso_1.0.2.zip, r-oldrel: gesso_1.0.2.zip
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

Linking:

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

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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