Flexible Mixture Modeling

A general framework for finite mixtures of regression models using the EM algorithm is implemented. The E-step and all data handling are provided, while the M-step can be supplied by the user to easily define new models. Existing drivers implement mixtures of standard linear models, generalized linear models and model-based clustering.

Tests Vignettes

Available Snapshots

This version of flexmix can be found in the following snapshots:


Imports/Depends/LinkingTo/Enhances (2)
  • R
  • modeltools >= 0.2-16
  • Suggests (11)
  • actuar
  • diptest
  • Ecdat
  • ellipse
  • gclus
  • glmnet
  • lme4 >= 1.1
  • mlbench
  • multcomp
  • mvtnorm
  • SuppDists
  • Version History