summary.em {em} | R Documentation |
Summaries of fitted finite mixture models using EM algorithm
Description
Summaries of fitted finite mixture models using EM algorithm
Usage
## S3 method for class 'em'
summary(object, ...)
Arguments
object |
Output from |
... |
other arguments used. |
Value
An object of class 'summary.em' is a list containing at least the following components:
call
the matched call.
coefficients
pi
the prior probabilities.
latent
number of the latent classes.
ll
log-likelihood value.
sum.models
summaries of models generated by 'summary()' of models from each class.
df
degree of freedom.
obs
number of observations.
AIC
the Akaike information criterion.
BIC
the Bayesian information criterion.
concomitant
a list of the concomitant model. It is empty if no concomitant model is used.
concomitant.summary
summaries of the concomitant model generated by 'summary()'.
[Package em version 1.0.0 Index]