Continuing estimation.

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Description

Generic function, that given the results of an estimation procedure (ex. MCMC or maximum likelihood optimization) continues the procedure for some more iterations.

Arguments

object

An object representing the results of an estimation procedure which we wish to continue. For example it might represents an MCMC chain.

...

Additional arguments that might be needed to continue the estimation procedure.

Details

When is("smcmc", object) == TRUE continues MCMC estimation of an object of class smcmc. All input parameters are defaulted to the corresponding slots in the input object, with the exception of cluster. The chain restarts were it ended, burn-in is set to zero, the same prior (if any) is used.

Value

An object of the same class as object, where the results of the estimation have been updated.

See Also

For examples, see smcmc-class.