RIS ID
22661
Abstract
Finite mixture models are a popular method for modelling unobserved heterogeneity or for approximating general distribution functions. They are applied in a lot of different areas such as astronomy, biology, medicine or marketing. An overview on these models with many examples for applications is given in the recent monographs McLachlan and Peel (2000) and Frühwirth-Schnatter (2006).
Publication Details
Grun, B. & Leisch, F. (2007). FlexMix: An R package for finite mixture modelling. R News, 7 (1), 8-13.