dclone: 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'.

Version: 2.2-0
Depends: R (≥ 2.15.1), coda (≥ 0.13), parallel, Matrix
Imports: methods, stats, rjags (≥ 4-4)
Suggests: MASS, lattice, R2WinBUGS, R2OpenBUGS, BRugs, rlecuyer
Published: 2018-02-26
Author: Peter Solymos
Maintainer: Peter Solymos <solymos at ualberta.ca>
BugReports: https://github.com/datacloning/dclone/issues
License: GPL-2
URL: https://groups.google.com/forum/#!forum/dclone-users, http://datacloning.org
NeedsCompilation: no
SystemRequirements: none, one or more of JAGS (>= 3.0.0), WinBUGS (>= 1.4), OpenBUGS (>= 3.2.2)
Citation: dclone citation info
In views: Bayesian, HighPerformanceComputing, Optimization, gR
CRAN checks: dclone results


Reference manual: dclone.pdf
Package source: dclone_2.2-0.tar.gz
Windows binaries: r-devel: dclone_2.2-0.zip, r-release: dclone_2.2-0.zip, r-oldrel: dclone_2.2-0.zip
OS X binaries: r-release: dclone_2.2-0.tgz, r-oldrel: dclone_2.2-0.tgz
Old sources: dclone archive

Reverse dependencies:

Reverse depends: dcmle, PVAClone, sharx
Reverse suggests: detect


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