Flexmix Version 2: Finite Mixtures With Concomitant Variables and Varying and Constant Parameters

exmix provides infrastructure for
exible fitting of finite 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 specific generalized linear regression models can be fitted.
The application of the package is demonstrated on several examples, the implementation
described and examples given to illustrate how new drivers for the component specific
models and the concomitant variable models can be defined.