Finite Mixture Models for an underlying zero-one inflated Beta Distribution
Cédric Noel, Jang Schiltz · 2024
Current versions of finite mixture models with underlying Beta distributions have the problem that the data y have to be contained strictly between 0 and 1. We resolve that problem by using the zero-one inflated Beta distribution instead and present our R package trajeR which allows to calibrate the model. We illustrate some of the possibilities of trajeR by means of an example with simulated data and finish by comparing the results of the new model with the classical model for an underlying Beta distribution on a real data set.