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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 "MCMCprecision" in publications use:'
type: software
license: GPL-3.0-only
title: 'MCMCprecision: Precision of Discrete Parameters in Transdimensional MCMC'
version: 0.4.1
doi: 10.1007/s11222-018-9828-0
identifiers:
- type: doi
  value: 10.32614/CRAN.package.MCMCprecision
abstract: Estimates the precision of transdimensional Markov chain Monte Carlo (MCMC)
  output, which is often used for Bayesian analysis of models with different dimensionality
  (e.g., model selection). Transdimensional MCMC (e.g., reversible jump MCMC) relies
  on sampling a discrete model-indicator variable to estimate the posterior model
  probabilities. If only few switches occur between the models, precision may be low
  and assessment based on the assumption of independent samples misleading. Based
  on the observed transition matrix of the indicator variable, the method of Heck,
  Overstall, Gronau, & Wagenmakers (2019, Statistics & Computing, 29, 631-643) <https://doi.org/10.1007/s11222-018-9828-0>
  draws posterior samples of the stationary distribution to (a) assess the uncertainty
  in the estimated posterior model probabilities and (b) estimate the effective sample
  size of the MCMC output.
authors:
- family-names: Heck
  given-names: Daniel W.
  email: daniel.heck@uni-marburg.de
  orcid: https://orcid.org/0000-0002-6302-9252
preferred-citation:
  type: article
  title: Quantifying Uncertainty in Transdimensional Markov Chain Monte Carlo Using
    Discrete Markov Models
  authors:
  - family-names: Heck
    given-names: Daniel W.
    email: dheck@uni-marburg.de
    orcid: https://orcid.org/0000-0002-6302-9252
  - family-names: Overstall
    given-names: Antony
  - family-names: Gronau
    given-names: Quentin F.
  - family-names: Wagenmakers
    given-names: Eric-Jan
  year: '2019'
  journal: Statistics & Computing
  volume: '29'
  doi: 10.1007/s11222-018-9828-0
  start: 631-643
repository: https://danheck.r-universe.dev
repository-code: https://github.com/danheck/MCMCprecision
commit: f87e5cbb2bc0e2145deff6c0bd327edc626c537f
url: https://github.com/danheck/MCMCprecision
date-released: '2024-07-03'
contact:
- family-names: Heck
  given-names: Daniel W.
  email: daniel.heck@uni-marburg.de
  orcid: https://orcid.org/0000-0002-6302-9252