pomp (version 0.43-4)

pmcmc-methods: Methods of the "pmcmc" class

Description

Methods of the "pmcmc" class.

Usage

## S3 method for class 'pmcmc':
logLik(object, \dots)
## S3 method for class 'pmcmc':
conv.rec(object, pars, \dots)
## S3 method for class 'pmcmc':
filter.mean(object, pars, \dots)
## S3 method for class 'pmcmc':
plot(x, y = NULL, \dots)
## S3 method for class 'pmcmc':
dprior(object, params, log = FALSE, \dots)
compare.pmcmc(z)

References

C. Andrieu, A. Doucet and R. Holenstein, Particle Markov chain Monte Carlo methods, J. Roy. Stat. Soc B, to appear, 2010.

C. Andrieu and G.O. Roberts, The pseudo-marginal approach for efficient computation, Ann Stat 37:697-725, 2009.

See Also

pmcmc, pomp, pomp-class, pfilter