A fitted flexmix
model.
model
:List of FLXM
objects.
prior
:Numeric vector with prior probabilities of clusters.
posterior
:Named list with elements scaled
and unscaled
, both matrices with one row per observation
and one column per cluster.
iter
:Number of EM iterations.
k
:Number of clusters after EM.
k0
:Number of clusters at start of EM.
cluster
:Cluster assignments of observations.
size
:Cluster 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.
Class FLXdist
, directly.
The following functions should be used for accessing the corresponding slots:
cluster
:Cluster assignments of observations.
posterior
:A matrix of posterior probabilities for each observation.
Friedrich Leisch and Bettina Gruen