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flexmix (version 2.3-9)

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

24,366

Version

2.3-9

License

GPL (>= 2)

Maintainer

Bettina Gruen

Last Published

February 5th, 2013

Functions in flexmix (2.3-9)

FlexMix Binary Clustering Driver

Bootstrap a flexmix object

FLXcontrol-class

Class "FLXcontrol"

FlexMix Interface to Generalized Linear Models

FlexMix Clustering Demo Driver

Clinical trial of beta-blockers

Fitter Function for FlexMix Models

FlexMix Interface to Multiomial Logit Models

FlexMix Interface to GAMs

FlexMix Binary and Gaussian Clustering Driver

Methods for Function Lapply

FlexMix Interface to Zero Inflated Generalized Linear Models

FlexMix Interface to Linear Mixed Models

Epileptic Seizure Data

Article production by graduate students in biochemistry Ph.D. programs

Extract grouping variable

Patents and R&D spending

Entropic measure information criterion

Candy packs purchased

Creates the concomitant variable model.

Class "flexmix"

flexmix-internal

Internal FlexMix functions

Integrated completed likelihood criterion

Artificial Example with 4 Gaussians

Artificial Example for Normal, Poisson and Binomial Regression

Driver for mixtures of factor analyzers

Flexible Mixture Modeling

Finite mixtures of distributions

FlexMix Interface to Linear Mixed Models with Left-Censored Observations

Run FlexMix Repeatedly

Survey Data on Brands of Scotch whiskey Consumed

Rootogram of Posterior Probabilities

Plot Confidence Ellipses for FLXMCmvnorm Results

Random number generator for finite mixtures

FLXcomponent-class

Class "FLXcomponent"

Artificial Data from a Generalized Linear Regression Mixture

Artificial Example for Binomial Regression

Methods for Function BIC

FlexMix Interface to Conditional Logit Models

FlexMix Interface to Generalized Linear Models with fixed coefficients

Methods for Function logLik in Package flexmix

Tribolium beetles

FLXnested-class

Class "FLXnested"

Determine cluster membership and posterior probabilities

Methods for Function AIC

Kullback-Leibler Divergence

Salmonella reverse mutagenicity assay

FlexMix Poisson Clustering Driver

Class "FLXdist"

FlexMix Driver for Robust Estimation of Generalized Linear Models

Artificial Example for Normal Regression

Extract Model Fitted Values

Refit a Fitted Model

Relabel the Components