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: |
2.1-3 |
| 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: |
2018-02-04 |
| 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 |