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

`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. |

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.

An object of the same class as `object`

, where the
results of the estimation have been updated.

For examples, see `smcmc-class`

.

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