The EM algorithm for the extended finite mixture of the factor analyzers model

This paper is devoted to extending common factors and categorical variables in the model of a finite mixture of factor analyzers based on the multivariate generalized linear model and the principle of maximum random utility in the probabilistic choice theory. The EM algorithm and Newton–Raphson algorithm are used to estimate model parameters, and then the algorithm is illustrated with a simulation study and a real example.