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, with support for parallel
computing.

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. With some functions for parallel
MCMC computations.
R (>= 2.7.0), rjags, coda (>= 0.13), R2WinBUGS, snow, rlecuyer

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 computations are
supported and can result in nearly linear speed-up.

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 nearly linear speed-up.
MASS, rjags (>= 3-5), rlecuyer, rsprng, BRugs

MASS, lattice, rjags (>= 3-5), snow, rlecuyer

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.

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.
MASS, lattice, rjags (>= 3-5), R2WinBUGS, R2OpenBUGS, BRugs,
snow, rlecuyer
none, one or more of JAGS (>= 3.0.0), WinBUGS (>=
1.4), OpenBUGS (>= 3.2.2)

MASS, lattice, R2WinBUGS, R2OpenBUGS, BRugs, rlecuyer

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'.