my_ICL

data

A character value corresponding to id column name

col_id

A numeric value of number of clusters chosen for the mixture

nb_cluster

The number of paramaters estimated by the EM

nb_param

A numeric value which is the maximum value from Incomplete Loglikelihood

logl

A matrix of probability which rows number is the K clusters, columns number is the number of distinct id levels

val_tau

A numeric value corresponding to the rows number of the whole dataframe

nb_obs

Calculate the Integrated Complete Likelihood (ICL)

Provides a clustering method of non-gaussian longitudinal data with a mixture of generalized linear models. The longitudinal data should be defined as repeated observations for each individual. The number of observations for each individual can be different. In runEM(), an expectation-maximization algorithm is developed for both binomial and longitudinal data mixture model.

my_ICL: Calculate the Integrated Complete Likelihood (ICL)

Description

Usage

Arguments

Value