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CRAN: Package gesso

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: Downloads: Linking:

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