Generic function, that given the results of an estimation procedure (ex. MCMC or maximum likelihood optimization) continues the procedure for some more iterations.
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.
An object of the same class as object, where the
results of the estimation have been updated.
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.
For examples, see smcmc-class.