Learn R Programming

⚠️There's a newer version (2.3-20) of this package.Take me there.

flexmix (version 2.3-6)

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.

Copy Link

Version

Install

install.packages('flexmix')

Monthly Downloads

31,202

Version

2.3-6

License

GPL (>= 2)

Maintainer

Bettina Gruen

Last Published

January 12th, 2012

Functions in flexmix (2.3-6)

Artificial Example for Binomial Regression

Artificial Example for Normal Regression

Methods for Function Lapply

Class "FLXdist"

FLXnested-class

Class "FLXnested"

Candy packs purchased

FlexMix Interface to Linear Mixed Models

Artificial Example for Normal, Poisson and Binomial Regression

Flexible Mixture Modeling

Fitter Function for FlexMix Models

Artificial Data from a Generalized Linear Regression Mixture

FlexMix Binary Clustering Driver

Driver for mixtures of factor analyzers

Class "flexmix"

FlexMix Interface to GAMs

FlexMix Poisson Clustering Driver

Methods for Function BIC

FLXcontrol-class

Class "FLXcontrol"

FlexMix Interface to Linear Mixed Models with Left-Censored Observations

Clinical trial of beta-blockers

Run FlexMix Repeatedly

Artificial Example with 4 Gaussians

Methods for Function logLik in Package flexmix

Finite mixtures of distributions

FlexMix Clustering Demo Driver

FlexMix Interface to Zero Inflated Generalized Linear Models

Random number generator for finite mixtures

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

FLXcomponent-class

Class "FLXcomponent"

Salmonella reverse mutagenicity assay

Bootstrap a flexmix object

FlexMix Binary and Gaussian Clustering Driver

Refit a Fitted Model

Extract Model Fitted Values

Entropic measure information criterion

Methods for Function AIC

Tribolium beetles

Creates the concomitant variable model.

Epileptic Seizure Data

Integrated completed likelihood criterion

Relabel the Components

FlexMix Driver for Robust Estimation of Generalized Linear Models

Determine cluster membership and posterior probabilities

FlexMix Interface to Generalized Linear Models

Survey Data on Brands of Scotch whiskey Consumed

Plot Confidence Ellipses for FLXMCmvnorm Results

flexmix-internal

Internal FlexMix functions

Rootogram of Posterior Probabilities

FlexMix Interface to Generalized Linear Models with fixed coefficients

Patents and R&D spending

Kullback-Leibler Divergence

Extract grouping variable