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# CITATION.cff file created with {cffr} R package
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cff-version: 1.2.0
message: 'To cite package "MCMChybridGP" in publications use:'
type: software
license: GPL-2.0-only
title: 'MCMChybridGP: Hybrid Markov Chain Monte Carlo Using Gaussian Processes'
version: 7.0.1
doi: 10.32614/CRAN.package.MCMChybridGP
abstract: Hybrid Markov chain Monte Carlo (MCMC) for sampling from multimodal target
  distributions when derivatives are unavailable. A Gaussian process approximation
  is used to emulate derivatives, enabling efficient exploration with parallel tempering.
  The method is described in Fielding, Nott and Liong (2011) <https://doi.org/10.1198/TECH.2010.09195>.
  The research was carried out as part of the Singapore-Delft Water Alliance Multi-Objective
  Multi-Reservoir Management programme (R-264-001-272).
authors:
- family-names: Fielding
  given-names: Mark J.
  email: mark.fielding@gmx.com
repository: https://cran.r-universe.dev
commit: 4c25c00e3c4e8405eeff401e96efac403a171aed
date-released: '2026-06-24'
contact:
- family-names: Fielding
  given-names: Mark J.
  email: mark.fielding@gmx.com