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flexmix (version 2.3-21)

Flexible Mixture Modeling

Description

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.

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Version

Install

install.packages('flexmix')

Monthly Downloads

30,887

Version

2.3-21

License

GPL (>= 2)

Maintainer

Bettina Gruen

Last Published

August 25th, 2026

Functions in flexmix (2.3-21)

FlexMix Interface to Conditional Logit Models

FlexMix Interface to GAMs

Clinical Trial of Beta-Blockers

FlexMix Clustering Demo Driver

Artificial Example for Normal Regression

FLXcontrol-class

Class "FLXcontrol"

FlexMix Interface to GLMs with Fixed Coefficients

Bootstrap a flexmix Object

FlexMix Binary Clustering Driver

Kullback-Leibler Divergence

Simultaneous Inference in Finite Mixtures of Regression Models

Articles by Graduate Students in Biochemistry Ph.D. Programs

Integrated Completed Likelihood Criterion

Extract Grouping Variable

Finite Mixtures of Distributions

FLXcomponent-class

Class "FLXcomponent"

FLXnested-class

Class "FLXnested"

Candy Packs Purchased

compatibility-aliases

Backward Compatibility Aliases for Model Drivers

Extract Model Fitted Values

Methods for Function logLik in Package flexmix

FlexMix Interface to Generalized Linear Models

Fitter Function for FlexMix Models

Relabel the Components

Random Number Generator for Finite Mixtures

Salmonella Reverse Mutagenicity Assay

Epileptic Seizure Data

Patents and R&D Spending

Plot Confidence Ellipses for FLXMCmvnorm Results

Tribolium Beetles

Rootogram of Posterior Probabilities

Run FlexMix Repeatedly

Methods for Function Lapply

flexmix-internal

Internal FlexMix Functions

Determine Cluster Membership and Posterior Probabilities

Flexible Mixture Modeling

Class "flexmix"

Survey Data on Brands of Scotch Whiskey Consumed

Refit a Fitted Model

FlexMix Clustering of Univariate Distributions

FlexMix Interface to Zero Inflated Generalized Linear Models

Artificial Example for Binomial Regression

Methods for Function AIC

Artificial Example with 4 Gaussians

Artificial Example for Normal, Poisson and Binomial Regression

FlexMix Interface to Linear Mixed Models

FlexMix Binary and Gaussian Clustering Driver

Methods for Function BIC

FlexMix Poisson Clustering Driver

Entropic Measure Information Criterion

Creates the Concomitant Variable Model

FlexMix Driver for Robust Estimation of Generalized Linear Models

Artificial Data from a Generalized Linear Regression Mixture

Driver for Mixtures of Factor Analyzers

FlexMix Interface to Linear Mixed Models with Left-Censoring

Class "FLXdist"

FlexMix Interface for Adaptive Lasso / Elastic Net with GLMs

FlexMix Interface to Multiomial Logit Models