# --------------------------------------------
# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# --------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "bgsmtr" in publications use:'
type: software
license: GPL-2.0-only
title: 'bgsmtr: Bayesian Group Sparse Multi-Task Regression'
version: '0.7'
doi: 10.32614/CRAN.package.bgsmtr
abstract: Implementation of Bayesian multi-task regression models and was developed
  within the context of imaging genetics. The package can currently fit two models.
  The Bayesian group sparse multi-task regression model of Greenlaw et al. (2017)<https://doi.org/10.1093/bioinformatics/btx215>
  can be fit with implementation using Gibbs sampling. An extension of this model
  developed by Song, Ge et al. to accommodate both spatial correlation as well as
  correlation across brain hemispheres can also be fit using either mean-field variational
  Bayes or Gibbs sampling. The model can also be used more generally for multivariate
  (non-imaging) phenotypes with spatial correlation.
authors:
- family-names: Song
  given-names: Yin
  email: yinsong@uvic.ca
- family-names: Ge
  given-names: Shufei
- family-names: Wang
  given-names: Liangliang
- family-names: Cao
  given-names: Jiguo
- family-names: Greenlaw
  given-names: Keelin
- family-names: Lesperance
  given-names: Mary
- family-names: Nathoo
  given-names: Farouk S.
repository: https://cranhaven.r-universe.dev
commit: 06674277027f30c436c74dc1b03f768a58b0a7ca
date-released: '2026-05-14'
contact:
- family-names: Song
  given-names: Yin
  email: yinsong@uvic.ca