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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 "MasterBayes" in publications use:'
type: software
title: 'MasterBayes: Maximum Likelihood and Markov Chain Monte Carlo (MCMC) Methods
  for Pedigree Reconstruction and Analysis'
version: '2.59'
identifiers:
- type: doi
  value: 10.32614/CRAN.package.MasterBayes
abstract: The primary aim of 'MasterBayes' is to use Markov chain Monte Carlo (MCMC)
  techniques to integrate over uncertainty in pedigree configurations estimated from
  molecular markers and phenotypic data (Hadfield et al. (2006) <https://doi.org/10.1111/j.1365-294X.2006.03050.x>).
  Emphasis is put on the marginal distribution of parameters that relate the phenotypic
  data to the pedigree. All simulation is done in compiled 'C++' for efficiency.
authors:
- family-names: Hadfield
  given-names: Jarrod
  email: j.hadfield@ed.ac.uk
preferred-citation:
  type: article
  title: 'Towards unbiased parentage assignment: combining genetic, behavioural and
    spatial data in a Bayesian framework'
  authors:
  - family-names: Hadfield
    given-names: J.
    email: j.hadfield@ed.ac.uk
  - family-names: Richardson
    given-names: D.S.
  - family-names: Burke
    given-names: T.
  year: '2006'
  journal: Molecular Ecology
  volume: '15'
  issue: '12'
  month: '1'
  start: '3684'
repository: https://jarrodhadfield.r-universe.dev
commit: 489159e7e7d8744c557431f48b6647ad598fed81
date-released: '2026-03-13'
contact:
- family-names: Hadfield
  given-names: Jarrod
  email: j.hadfield@ed.ac.uk