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# CITATION 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 "tidyabc" in publications use:'
type: software
license: MIT
title: 'tidyabc: Approximate Bayesian Computing with Tidy Data'
version: 0.0.1
doi: 10.32614/CRAN.package.tidyabc
abstract: A flexible framework for Approximate Bayesian Computation (ABC) that integrates
  with the tidyverse. Define simulation models and summary statistics as standard
  R functions, use 'dist_fns' to represent prior and posterior distributions, and
  perform inference via rejection sampling, Sequential Monte Carlo (SMC), or Adaptive
  ABC. The package provides tools for diagnostics, visualization, and convergence
  assessment, enabling reproducible Bayesian inference for complex models with intractable
  likelihoods.
authors:
- family-names: Challen
  given-names: Robert
  email: rob.challen@bristol.ac.uk
  orcid: https://orcid.org/0000-0002-5504-7768
repository: https://ai4ci.r-universe.dev
repository-code: https://github.com/ai4ci/tidyabc
commit: 6d673cfed37e9321fce896a079e64f928a6c67b8
url: https://ai4ci.github.io/tidyabc
date-released: '2025-11-24'
contact:
- family-names: Challen
  given-names: Robert
  email: rob.challen@bristol.ac.uk
  orcid: https://orcid.org/0000-0002-5504-7768