Computational aspects of clustering multivariate longitudinal data of a mixed type

Arnošt Komárek, Charles University

Co-authors: Jan Vávra, Charles University, Prague; Bettina Grün, Vienna University of Economics and Business; Gertraud Malsiner-Walli, Vienna University of Economics and Business

Abstract: In previous works of authors of this contribution, several models have been proposed to perform model-based clustering of multivariate mixed type longitudinal data. This work introduces a new R package which implements the related methods.