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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 "abcel" in publications use:'
type: software
license: GPL-2.0-only
title: 'abcel: Empirical Likelihood-Based Approximate Bayesian Computation'
version: '1.0'
doi: 10.32614/CRAN.package.abcel
abstract: Empirical likelihood-based approximate Bayesian Computation. Approximates
  the required posterior using empirical likelihood and estimated differential entropy.
  This is achieved without requiring any specification of the likelihood or estimating
  equations that connects the observations with the underlying parameters. The procedure
  is known to be posterior consistent. More details can be found in Chaudhuri, Ghosh,
  and Kim (2024) <https://doi.org/10.1002/SAM.11711>.
authors:
- family-names: Chua
  given-names: Nicholas
  email: nicholaschua_kb@u.nus.edu
- family-names: Ghosh
  given-names: Riddhimoy
  email: rghosh3@unl.edu
- family-names: Chaudhuri
  given-names: Sanjay
  email: schaudhuri2@unl.edu
repository: https://cran.r-universe.dev
commit: b9f60f8f89a87ade0840e2934ee1218906f10ff7
date-released: '2025-11-21'
contact:
- family-names: Chaudhuri
  given-names: Sanjay
  email: schaudhuri2@unl.edu