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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 "NeuralEstimators" in publications use:'
type: software
license: GPL-2.0-or-later
title: 'NeuralEstimators: Likelihood-Free Parameter Estimation using Neural Networks'
version: 0.2.0
doi: 10.32614/CRAN.package.NeuralEstimators
identifiers:
- type: doi
  value: 10.32614/CRAN.package.NeuralEstimators
abstract: An 'R' interface to the 'Julia' package 'NeuralEstimators.jl'. The package
  facilitates the user-friendly development of neural Bayes estimators, which are
  neural networks that map data to a point summary of the posterior distribution (Sainsbury-Dale
  et al., 2024, <https://doi.org/10.1080/00031305.2023.2249522>). These estimators
  are likelihood-free and amortised, in the sense that, once the neural networks are
  trained on simulated data, inference from observed data can be made in a fraction
  of the time required by conventional approaches. The package also supports amortised
  Bayesian or frequentist inference using neural networks that approximate the posterior
  or likelihood-to-evidence ratio (Zammit-Mangion et al., 2025, Sec. 3.2, 5.2, <https://doi.org/10.48550/arXiv.2404.12484>).
  The package accommodates any model for which simulation is feasible by allowing
  users to define models implicitly through simulated data.
authors:
- family-names: Sainsbury-Dale
  given-names: Matthew
  email: msainsburydale@gmail.com
preferred-citation:
  type: manual
  title: 'NeuralEstimators: Likelihood-Free Parameter Estimation using Neural Networks'
  authors:
  - family-names: Sainsbury-Dale
    given-names: Matthew
    email: msainsburydale@gmail.com
  year: '2024'
  notes: R package version 0.1-2
  url: https://CRAN.R-project.org/package=NeuralEstimators
  doi: 10.32614/CRAN.package.NeuralEstimators
repository: https://msainsburydale.r-universe.dev
repository-code: https://github.com/msainsburydale/NeuralEstimators
commit: 6f5cb0dbad5b5b85255d548df09e005e913dc35f
url: https://msainsburydale.github.io/NeuralEstimators.jl/dev/
contact:
- family-names: Sainsbury-Dale
  given-names: Matthew
  email: msainsburydale@gmail.com
references:
- type: article
  title: Likelihood-Free Parameter Estimation with Neural Bayes Estimators
  authors:
  - family-names: Sainsbury-Dale
    given-names: Matthew
  - family-names: Zammit-Mangion
    given-names: Andrew
  - family-names: Huser
    given-names: Raphael
  journal: The American Statistician
  year: '2024'
  volume: '78'
  doi: 10.1080/00031305.2023.2249522
  start: '1'
  end: '14'