Package: spinBayes
Type: Package
Title: Semi-Parametric Gene-Environment Interaction via Bayesian
        Variable Selection
Version: 0.2.2
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"),
  person(given = "Yu", family = "Jiang", role = "aut"))
Maintainer: Jie Ren <renjie0910@gmail.com>
Description: Many complex diseases are known to be affected by the
        interactions between genetic variants and environmental
        exposures beyond the main genetic and environmental effects.
        Existing Bayesian methods for gene-environment (G×E)
        interaction studies are challenged by the high-dimensional
        nature of the study and the complexity of environmental
        influences. We have developed a novel and powerful
        semi-parametric Bayesian variable selection method that can
        accommodate linear and nonlinear G×E interactions
        simultaneously (Ren et al. (2020) <doi:10.1002/sim.8434>).
        Furthermore, the proposed method can conduct structural
        identification by distinguishing nonlinear interactions from
        main effects only case within Bayesian framework.
        Spike-and-slab priors are incorporated on both individual and
        group level to shrink coefficients corresponding to irrelevant
        main and interaction effects to zero exactly. 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, testthat
Imports: Rcpp, splines, glmnet, utils, stats, ggplot2
URL: https://github.com/jrhub/spinBayes
BugReports: https://github.com/jrhub/spinBayes/issues
RoxygenNote: 7.3.2
Suggests: testthat (>= 3.0.0), covr
Config/testthat/edition: 3
Config/pak/sysreqs: cmake make libuv1-dev
Repository: https://jrenstat.r-universe.dev
Date/Publication: 2025-02-10 00:22:45 UTC
RemoteUrl: https://github.com/jrenstat/spinbayes
RemoteRef: HEAD
RemoteSha: a7ff8306a92bf78acc6071ca487906117f456018
NeedsCompilation: yes
Packaged: 2026-06-18 08:35:25 UTC; root
Author: Jie Ren [aut, cre],
  Fei Zhou [aut],
  Xiaoxi Li [aut],
  Cen Wu [aut],
  Yu Jiang [aut]