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'.

News

Reference manual

install.packages("dclone")

2.3-0 by Peter Solymos, 2 years 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, 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.

R links

R homepage

Download R

Mailing lists

R documentation

R manuals

R FAQs

The R Journal

CRAN links

CRAN homepage

CRAN repository policy

Submit a package

METACRAN stuff

About METACRAN

At github

Report a bug