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flexmix (version 1.1-2)

Flexible Mixture Modeling

Description

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.

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Version

Install

install.packages('flexmix')

Monthly Downloads

29,704

Version

1.1-2

License

GPL version 2.

Maintainer

Friedrich Leisch

Last Published

February 28th, 2025

Functions in flexmix (1.1-2)

FLXdist-class

Class "FLXdist"
FLXbclust

FlexMix Binary Clustering Driver
stepFlexmix

Run FlexMix Repeatedly
plot-methods

Rootogram of Posterior Probabilities
flexmix

Flexible Mixture Modeling
FLXmclust

FlexMix Clustering Demo Driver
posterior

Determine posterior probabilities
plotEll

Plot Confidence Ellipses for FLXmclust Results
flexmix-class

Class "flexmix"
AIC-methods

Methods for Function AIC
fitted

Extract Model Fitted Values
FLXcomponent-class

Class "FLXcomponent"
FLXfit

Fitter Function for FlexMix Models
FLXmodel-class

Class "FLXmodel"
ExNclus

Artificial Example with 4 Gaussians
flexmix-internal

Internal FlexMix functions
ExNPreg

Artificial Example for Normal, Poisson and Binomial Regression
FLXcontrol-class

Class "FLXcontrol"
logLik-methods

Methods for Function logLik in Package `flexmix'
FLXglm

FlexMix Interface to Generalized Linear Models
refit

Refit a Fitted Model
BIC-methods

Methods for Function BIC
KLdiv

Kullback-Leibler Divergence
seizure

Epileptic Seizure Data