Data Cloning and MCMC Tools for Maximum Likelihood Methods R package dclone version 2.3-3 CRAN Task View: Bayesian (https://CRAN.R-project.org/view=Bayesian) CRAN Task View: GraphicalModels (https://CRAN.R-project.org/view=GraphicalModels) CRAN Task View: HighPerformanceComputing (https://CRAN.R-project.org/view=HighPerformanceComputing) CRAN Task View: Optimization (https://CRAN.R-project.org/view=Optimization) Low level functions for implementing maximum likelihood estimating procedures for complex models using data cloning and Bayesian Markov chain Monte Carlo methods as described in Solymos 2010 <doi:10.32614/RJ-2010-011>. Sequential and parallel MCMC support for 'JAGS', 'WinBUGS', 'OpenBUGS', and 'Stan'. Software Depends: R (>= 2.15.1), coda (>= 0.13), parallel, Matrix Imports: methods, stats, rjags (>= 4-4), rstan, R2OpenBUGS Suggests: MASS, lattice, R2WinBUGS, BRugs, rlecuyer Peter Solymos <psolymos@gmail.com> Comprehensive R Archive Network (CRAN) Peter Solymos [aut, cre] (ORCID: <https://orcid.org/0000-0001-7337-1740>) GPL-2 2025-07-13 application/tgz https://CRAN.R-project.org/package=dclone doi:10.32614/CRAN.package.dclone