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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 "combreg" in publications use:'
type: software
license: MIT
title: 'combreg: Bayesian Regression for Combinatorial Response Data'
version: 0.2.0
doi: 10.48550/arXiv.2504.11630
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/10.48550/arXiv.2504.11630>, 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: generic
  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
  year: '2025'
  doi: 10.48550/arXiv.2504.11630
  url: https://arxiv.org/abs/2504.11630
  notes: arXiv:2504.11630
repository: https://cran.r-universe.dev
repository-code: https://github.com/YuZh98/combreg
commit: 0261705b6b026dfb62509b88fc176e916977ac77
url: https://github.com/YuZh98/combreg
date-released: '2026-07-29'
contact:
- family-names: Zheng
  given-names: Hugh
  email: hugh.stats@gmail.com