Low level functions for implementing maximum likelihood
estimating procedures for complex models using data cloning and
Bayesian Markov chain Monte Carlo methods with support for
JAGS, WinBUGS and OpenBUGS. Parallel MCMC computation is
supported and can result in considerable speed-up.
| Version: |
1.7-2 |
| Depends: |
R (≥ 2.14.0), coda (≥ 0.13), R2WinBUGS, parallel |
| Imports: |
stats |
| Suggests: |
MASS, lattice, rjags (≥ 3-5), snow, rlecuyer |
| Published: |
2012-05-03 |
| Author: |
Peter Solymos |
| Maintainer: |
Peter Solymos <solymos at ualberta.ca> |
| License: |
GPL-2 |
| URL: |
http://cran.r-project.org/package=dclone,
http://dcr.r-forge.r-project.org/ |
| SystemRequirements: |
JAGS (>= 3.0.0), WinBUGS (>= 1.4) |
| Citation: |
dclone citation info |
| In views: |
Bayesian, HighPerformanceComputing, Optimization |
| CRAN checks: |
dclone results |