# ------------------------------------------------
# CITATION.cff file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# ------------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "combreg" in publications use:'
type: software
license: MIT
title: 'combreg: Bayesian Regression for Combinatorial Response Data'
version: 0.2.0
doi: 10.1080/01621459.2026.2714575
identifiers:
- type: doi
  value: 10.32614/CRAN.package.combreg
abstract: Bayesian regression whose response data are integer-valued vectors subject
  to combinatorial constraints in the form of Ay<=b. Implements the Metropolis-Hastings-within-Gibbs
  sampler of Zheng et al. (2026) <https://doi.org/10.1080/01621459.2026.2714575>,
  an unconstrained probit baseline for comparison, benchmarking helpers, MCMC and
  regression diagnostics (effective sample sizes, split-Rhat, structured reports),
  plotting methods (trace, autocorrelation, violin, effective-sample-size, sampling-efficiency,
  residual heat map), and utilities for constraint validation (total unimodularity,
  feasibility) and data simulation.
authors:
- family-names: Zheng
  given-names: Hugh
  email: hugh.stats@gmail.com
preferred-citation:
  type: article
  title: Statistical Modeling of Combinatorial Response Data
  authors:
  - family-names: Zheng
    given-names: Yu
  - family-names: Ghosh
    given-names: Malay
  - family-names: Duan
    given-names: Leo
  journal: Journal of the American Statistical Association
  year: '2026'
  doi: 10.1080/01621459.2026.2714575
  notes: Advance online publication
repository: https://yuzh98.r-universe.dev
repository-code: https://github.com/YuZh98/combreg
commit: 1a400d3145e9de5aa6d0f5a4ba3821783e5d9276
url: https://github.com/YuZh98/combreg
date-released: '2026-08-14'
contact:
- family-names: Zheng
  given-names: Hugh
  email: hugh.stats@gmail.com