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. Sequential and parallel MCMC support for JAGS, WinBUGS and OpenBUGS.

Version: 2.1-2
Depends: R (≥ 2.15.1), coda (≥ 0.13), parallel, Matrix
Imports: methods, stats, rjags (≥ 4-4), snow
Suggests: MASS, lattice, R2WinBUGS, R2OpenBUGS, BRugs, rlecuyer
Published: 2016-03-12
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
Materials: ChangeLog
In views: Bayesian, HighPerformanceComputing, Optimization, gR
CRAN checks: dclone results

Downloads:

Reference manual: dclone.pdf
Package source: dclone_2.1-2.tar.gz
Windows binaries: r-devel: dclone_2.1-2.zip, r-release: dclone_2.1-2.zip, r-oldrel: dclone_2.1-2.zip
OS X Mavericks binaries: r-release: dclone_2.1-2.tgz, r-oldrel: dclone_2.1-2.tgz
Old sources: dclone archive

Reverse dependencies:

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