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flexmix (version 2.3-19)

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

25,156

Version

2.3-19

License

GPL (>= 2)

Maintainer

Last Published

March 16th, 2023

Functions in flexmix (2.3-19)

FlexMix Poisson Clustering Driver

FlexMix Interface to Linear Mixed Models

FlexMix Driver for Robust Estimation of Generalized Linear Models

FlexMix Interface for Adaptive Lasso / Elastic Net with GLMs

FlexMix Interface to Conditional Logit Models

FlexMix Interface to Multiomial Logit Models

FlexMix Interface to Linear Mixed Models with Left-Censoring

FlexMix Interface to Zero Inflated Generalized Linear Models

Class "FLXdist"

Finite Mixtures of Distributions

FlexMix Interface to GLMs with Fixed Coefficients

FLXcontrol-class

Class "FLXcontrol"

FLXnested-class

Class "FLXnested"

Creates the Concomitant Variable Model

FlexMix Interface to GAMs

FlexMix Clustering Demo Driver

Articles by Graduate Students in Biochemistry Ph.D. Programs

Bootstrap a flexmix Object

Integrated Completed Likelihood Criterion

FLXcomponent-class

Class "FLXcomponent"

Methods for Function Lapply

FlexMix Binary Clustering Driver

Candy Packs Purchased

Flexible Mixture Modeling

Methods for Function logLik in Package flexmix

Patents and R&D Spending

Random Number Generator for Finite Mixtures

Kullback-Leibler Divergence

Extract Model Fitted Values

Relabel the Components

Rootogram of Posterior Probabilities

Plot Confidence Ellipses for FLXMCmvnorm Results

Extract Grouping Variable

Refit a Fitted Model

Determine Cluster Membership and Posterior Probabilities

Survey Data on Brands of Scotch whiskey Consumed

flexmix-internal

Internal FlexMix Functions

Epileptic Seizure Data

Salmonella Reverse Mutagenicity Assay

Class "flexmix"

Fitter Function for FlexMix Models

FlexMix Interface to Generalized Linear Models

Artificial Example for Normal Regression

Run FlexMix Repeatedly

Clinical Trial of Beta-Blockers

Tribolium Beetles

Artificial Example with 4 Gaussians

FlexMix Binary and Gaussian Clustering Driver

FlexMix Clustering of Univariate Distributions

Methods for Function AIC

Artificial Example for Normal, Poisson and Binomial Regression

Entropic Measure Information Criterion

Artificial Data from a Generalized Linear Regression Mixture

Methods for Function BIC

Driver for Mixtures of Factor Analyzers

Artificial Example for Binomial Regression