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'.
Version: |
2.3-0 |
Depends: |
R (≥ 2.15.1), coda (≥ 0.13), parallel, Matrix |
Imports: |
methods, stats, rjags (≥ 4-4), rstan |
Suggests: |
MASS, lattice, R2WinBUGS, R2OpenBUGS, BRugs, rlecuyer |
Published: |
2019-03-22 |
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), Stan |
Citation: |
dclone citation info |
In views: |
Bayesian, GraphicalModels, HighPerformanceComputing, Optimization |
CRAN checks: |
dclone results |