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flexmix (version 2.2-11)

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

2.2-11

License

GPL (>= 2)

Maintainer

Bettina Gruen

Last Published

November 22nd, 2010

Functions in flexmix (2.2-11)

Artificial Example for Binomial Regression

FLXcomponent-class

Class "FLXcomponent"

Creates the concomitant variable model.

FlexMix Driver for Robust Estimation of Generalized Linear Models

Extract grouping variable

FlexMix Interface to Linear Mixed Models

Artificial Example for Normal Regression

Rootogram of Posterior Probabilities

flexmix-internal

Internal FlexMix functions

Methods for Function AIC

FlexMix Binary and Gaussian Clustering Driver

Plot Confidence Ellipses for FLXMCmvnorm Results

Integrated completed likelihood criterion

Extract Model Fitted Values

FlexMix Interface to Zero Inflated Generalized Linear Models

Driver for mixtures of factor analyzers

Class "flexmix"

FlexMix Poisson Clustering Driver

Methods for Function Lapply

Tribolium beetles

Patents and R&D spending

Fitter Function for FlexMix Models

Epileptic Seizure Data

FLXnested-class

Class "FLXnested"

Methods for Function BIC

FlexMix Binary Clustering Driver

FlexMix Interface to GAMs

FlexMix Interface to Generalized Linear Models

Artificial Example for Normal, Poisson and Binomial Regression

FlexMix Interface to Linear Mixed Models with Left-Censored Observations

Clinical trial of beta-blockers

Survey Data on Brands of Scotch whiskey Consumed

FlexMix Clustering Demo Driver

Random number generator for finite mixtures

Finite mixtures of distributions

Candy packs purchased

Run FlexMix Repeatedly

Artificial Data from a Generalized Linear Regression Mixture

Class "FLXdist"

Relabel the Components

Methods for Function logLik in Package `flexmix'

FLXcontrol-class

Class "FLXcontrol"

Refit a Fitted Model

Artificial Example with 4 Gaussians

Entropic measure information criterion

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

Salmonella reverse mutagenicity assay

Flexible Mixture Modeling

FlexMix Interface to Generalized Linear Models with fixed coefficients

Kullback-Leibler Divergence

Determine cluster membership and posterior probabilities