A fitted mptmix model.
model:A FLXMC object for an MPT mixture model
prior:Numeric vector with prior probabilities of classes.
posterior:Named list with elements scaled
      and unscaled, both matrices with one row per observation
      and one column per class.
iter:Number of EM iterations.
k:Number of classes after EM.
k0:Number of classes at start of EM.
cluster:Class assignments of observations.
size:Class sizes.
logLik:Log-likelihood at EM convergence.
df:Total number of parameters of the model.
components:List describing
      the fitted components using FLXcomponent objects.
formula:Object of class "formula".
control:Object of class "FLXcontrol".
call:The function call used to create the object.
group:Object of class "factor".
converged:Logical, TRUE if EM algorithm converged.
concomitant:Object of class "FLXP".
weights:Optional weights of the observations.
flx.call:Internal call to stepFlexmix
nobs:Number of observations.
% \item{\code{labels}:}{Labels of objects compared.}
Class flexmix, directly.
The following functions should be used for accessing the corresponding slots:
clusters:Cluster assignments of observations.
posterior:A matrix of posterior probabilities for each observation.