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'.


News

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("dclone")

2.2-0 by Peter Solymos, 3 months 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.


See at CRAN