FLXgetModelmatrix

FLXcheckComponent

FLXcheckComponent,FLXM-method

FLXcheckComponent,FLXMRglmfix-method

FLXdeterminePostunscaled

FLXdeterminePostunscaled,FLXM-method

FLXdeterminePostunscaled,FLXMRglmfix-method

FLXgetK

FLXgetK,FLXM-method

FLXgetK,FLXMRglmfix-method

FLXgetModelmatrix,FLXM-method

FLXgetModelmatrix,FLXMRglmfix-method

FLXgetModelmatrix,FLXMRziglm-method

FLXgetModelmatrix,FLXP-method

FLXgetObs

FLXgetObs,FLXM-method

FLXgetObs,FLXMRglmfix-method

FLXmstep

FLXmstep,FLXM-method

FLXmstep,FLXMRglmfix-method

FLXmstep,FLXMRziglm-method

FLXremoveComponent

FLXremoveComponent,FLXM-method

FLXremoveComponent,FLXMRglmfix-method

FLXremoveComponent,FLXMRziglm-method

FLXMRglm-class

FLXR-class

FLXRMRglm-class

FLXRPmultinom-class

summary.flexmix-class

posterior,FLXM,listOrdata.frame-method

FLXMRglmfix-class

FLXRMRglmfix-class

predict,FLXMRglmfix-method

fitted,FLXMRglmfix-method

summary,FLXRMRglmfix-method

listOrdata.frame-class

Internal flexmix functions, methods and classes.

internal

flexmix-internal

FlexMix implements a general framework for finite
  mixtures of regression models using the EM algorithm. 
  FlexMix provides the E-step and all data handling, 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. 

flexmix-internal: Internal FlexMix functions

Description

Arguments

Details