Package: marble
Type: Package
Title: Robust Marginal Bayesian Variable Selection for Gene-Environment
        Interactions
Version: 0.0.3
Date: 2024-04-02
Authors@R: c( person("Xi", "Lu", role = c("aut", "cre"),
                      email = "xilu@ksu.edu"),
              person("Cen", "Wu", role = "aut"))
Description: Recently, multiple marginal variable selection methods have been developed and shown to be effective in Gene-Environment interactions studies. We propose a novel marginal Bayesian variable selection method for Gene-Environment interactions studies. In particular, our marginal Bayesian method is robust to data contamination and outliers in the outcome variables. With the incorporation of spike-and-slab priors, we have implemented the Gibbs sampler based on Markov Chain Monte Carlo. The core algorithms of the package have been developed in 'C++'.
Depends: R (>= 3.5.0)
License: GPL-2
Encoding: UTF-8
URL: https://github.com/xilustat/marble
LazyData: true
LinkingTo: Rcpp, RcppArmadillo
Imports: Rcpp, stats
RoxygenNote: 7.3.1
NeedsCompilation: yes
Repository: CRAN
Packaged: 2024-04-04 21:50:05 UTC; xilu0
Author: Xi Lu [aut, cre],
  Cen Wu [aut]
Maintainer: Xi Lu <xilu@ksu.edu>
Date/Publication: 2024-04-04 22:12:59 UTC
Built: R 4.6.0; x86_64-apple-darwin20; 2026-04-26 21:36:05 UTC; unix
Archs: marble.so.dSYM
