R: Entropic Measure Information Criterion

EIC {flexmix} | R Documentation

## Entropic Measure Information Criterion

### Description

Compute the Entropic measure Information criterion for model selection.

### Usage

    ## S4 method for signature 'flexmix'
    EIC(object, ...)
    ## S4 method for signature 'stepFlexmix'
    EIC(object, ...)

### Arguments

`object` | see Methods section below
`...` | Some methods for this generic function may take additional, optional arguments. At present none do.

### Value

Returns a numeric vector with the corresponding EIC value(s).

### Methods

object = "flexmix":

  Compute the EIC of a `flexmix` object.

object = "stepFlexmix":

  Compute the EIC of all models contained in the `stepFlexmix` object.

### Author(s)

Bettina Gruen

### References

V. Ramaswamy, W. S. DeSarbo, D. J. Reibstein, and W. T. Robinson. An empirical pooling approach for estimating marketing mix elasticities with PIMS data. Marketing Science, 12(1), 103–124, 1993.

### Examples

    data("NPreg", package = "flexmix")
    ex1 <- flexmix(yn ~ x + I(x^2), data = NPreg, k = 2)
    EIC(ex1)

[Package flexmix version 2.3-14 Index]