log_density_binom

A dataframe corresponding to a specific id levels from col_id

A design matrix corresponding to a specific id levels from col_id

matrix_id

b_hk

A numeric value to select the beta from a specific cluster

A character value corresponding to the weights variable

var_weights

Calculate de log density of a binomial

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.

log_density_binom: Calculate de log density of a binomial

Description

Usage

Arguments

Value