Package: roben Type: Package Title: Robust Bayesian Variable Selection for Gene-Environment Interactions Version: 0.1.3 Authors@R: c(person(given = "Jie", family = "Ren", role = c("aut", "cre"), email = "renjie0910@gmail.com"), person(given = "Fei", family = "Zhou", role = "aut"), person(given = "Xiaoxi", family = "Li", role = "aut"), person(given = "Cen", family = "Wu", role = "aut")) Maintainer: Jie Ren Description: Gene-environment (G×E) interactions have important implications to elucidate the etiology of complex diseases beyond the main genetic and environmental effects. Outliers and data contamination in disease phenotypes of G×E studies have been commonly encountered, leading to the development of a broad spectrum of robust penalization methods. Nevertheless, within the Bayesian framework, the issue has not been taken care of in existing studies. We develop a robust Bayesian variable selection method for G×E interaction studies. The proposed Bayesian method can effectively accommodate heavy-tailed errors and outliers in the response variable while conducting variable selection by accounting for structural sparsity. In particular, the spike-and-slab priors have been imposed on both individual and group levels to identify important main and interaction effects. An efficient Gibbs sampler has been developed to facilitate fast computation. The Markov chain Monte Carlo algorithms of the proposed and alternative methods are efficiently implemented in C++. Depends: R (>= 4.0.0) License: GPL-2 Encoding: UTF-8 LazyData: true LinkingTo: Rcpp, RcppArmadillo Imports: Rcpp, glmnet, stats Suggests: testthat (>= 3.0.0), covr URL: https://github.com/jrenstat/roben BugReports: https://github.com/jrenstat/roben/issues Config/testthat/edition: 3 Config/roxygen2/version: 8.0.0 Repository: https://jrenstat.r-universe.dev Date/Publication: 2026-05-20 23:06:19 UTC RemoteUrl: https://github.com/jrenstat/roben RemoteRef: HEAD RemoteSha: 69c6d903f2cb9e8414dae81aaa8ac142dfc57ff1 NeedsCompilation: yes Packaged: 2026-06-19 06:55:05 UTC; root Author: Jie Ren [aut, cre], Fei Zhou [aut], Xiaoxi Li [aut], Cen Wu [aut]