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.