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# CITATION.cff file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "IBGS" in publications use:'
type: software
license: GPL-3.0-only
title: 'IBGS: Iterated Block Gibbs Sampler for Ultrahigh-Dimensional Variable Selection
  and Model Averaging'
version: 1.0.0
abstract: Variable selection for generalized linear models and the Cox proportional-hazards
  model in ultrahigh dimensions via the iterated block Gibbs sampler (IBGS). The sampler
  is implemented in C with parallel block screening through 'OpenMP', and supports
  the gaussian, binomial and poisson families (fitted by least squares or iteratively
  reweighted least squares) as well as the Cox model for survival analysis (fitted
  by its Efron partial likelihood), together with the AIC, BIC, AICc and extended
  BIC model selection criteria.
authors:
- family-names: Chen
  given-names: Lizhong
  email: chen.l@wehi.edu.au
repository: https://cran.r-universe.dev
commit: 9689a766d4e57fb485e2a5b5108977c4393fb224
date-released: '2026-07-04'
contact:
- family-names: Chen
  given-names: Lizhong
  email: chen.l@wehi.edu.au