The iteration which maximizes log likelihood and log prior is found. The estimates for each parameter at this iteration are retrieved.
For a mixture model with K components, there are K! possible modes.
One can permute the ordering of the modes and assign the permuted
order to a MixtureModel derived class by this method.
Usage
modes(object)
modes(object) <- value
"modes"(object)
"modes"(object)
"modes"(object) <- value
Arguments
object
a MixtureModel-derived class
value
a list of the modes. See mode(object)
to obtain the correct format of the list.