pomp (version 0.53-1)

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 'pmcmcList':
conv.rec(object, \dots)
## S3 method for class 'pmcmc':
plot(x, y, \dots)
## S3 method for class 'pmcmcList':
plot(x, y, \dots)
## S3 method for class 'pmcmc':
c(x, \dots, recursive = FALSE)
## S3 method for class 'pmcmcList':
c(x, \dots, recursive = FALSE)

Arguments

object, x

The pmcmc or pmcmcList object.

pars

Names of parameters.

y, recursive

Ignored.

...

Further arguments (either ignored or passed to underlying functions).

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