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', 'OpenBUGS', and 'Stan'.


Reference manual

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2.3-0 by Peter Solymos, 3 years ago!forum/dclone-users,

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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, rstan

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), Stan

Depended on by PVAClone, dcmle, sharx.

Suggested by detect.

See at CRAN