Data Cloning and MCMC Tools for Maximum Likelihood Methods

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 (R Journal 2(2):29--37). Sequential and parallel MCMC support for 'JAGS', 'WinBUGS' and 'OpenBUGS'.

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Reference manual

install.packages("dclone")

2.2-0 by Peter Solymos, a year ago

https://groups.google.com/forum/#!forum/dclone-users, http://datacloning.org

Report a bug at https://github.com/datacloning/dclone/issues

Browse source code at https://github.com/cran/dclone

Authors: Peter Solymos

Documentation: PDF Manual

Task views: Bayesian Inference, High-Performance and Parallel Computing with R, Optimization and Mathematical Programming, gRaphical Models in R

GPL-2 license

Imports methods, stats, rjags

Depends on coda, parallel, Matrix

Suggests MASS, lattice, R2WinBUGS, R2OpenBUGS, BRugs, rlecuyer

System requirements: none, one or more of JAGS (>= 3.0.0), WinBUGS (>= 1.4), OpenBUGS (>= 3.2.2)

Depended on by PVAClone, dcmle, sharx.

Suggested by detect.

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