FlexMix Version 2: Finite Mixtures with Concomitant Variables and Varying and Constant Parameters

This article is a (slightly) modied version of Gr  un and Leisch (2008b), published in the Journal of Statistical Software. exmix provides infrastructure for exible tting of nite mixture models in R using the expectation-maximization (EM) algorithm or one of its variants. The functionality of the package was enhanced. Now concomitant variable models as well as varying and constant parameters for the component specic generalized linear regression models can be tted. The application of the package is demonstrated on several examples, the implementation described and examples given to illustrate how new drivers for the component specic models and the concomitant variable models can be dened.