# --------------------------------------------
# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# --------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "marble" in publications use:'
type: software
license: GPL-2.0-only
title: 'marble: Robust Marginal Bayesian Variable Selection for Gene-Environment Interactions'
version: 0.0.3
doi: 10.32614/CRAN.package.marble
abstract: 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++'.
authors:
- family-names: Lu
  given-names: Xi
  email: xilu@ksu.edu
- family-names: Wu
  given-names: Cen
repository: https://xilustat.r-universe.dev
repository-code: https://github.com/xilustat/marble
commit: aab16def693da5400575c7482fdbf37acf9ebb91
url: https://github.com/xilustat/marble
date-released: '2024-04-02'
contact:
- family-names: Lu
  given-names: Xi
  email: xilu@ksu.edu