MLCM (version 0.0-3)

anova.mlcm: Analysis of Deviance for Maximum Likelihood Conjoint Measurement Model Fits

Description

Compute an analysis of deviance table for one or more maximum likelihood conjoint measurement model fits.

Usage

## S3 method for class 'mlcm':
anova(object, ..., dispersion = NULL, test = NULL)

Value

• An object of class "anova" inheriting from class "data.frame".

Warning

see section Warnings in anova for warnings.

Details

See anova.glm for details. In brief, specifying a single object, results in the display of a sequentila analysis of deviance table for that model. Specifying several objects, a table indicating the results of the likelihood ratio tests between successive models is displayed. The models must be nested and fit to the same data set..

References

Ho, Y. H., Landy. M. S. and Maloney, L. T. (2008). Conjoint measurement of gloss and surface texture. Psychological Science, 19, 196--204.

See Also

anova.glm, anova, glm

Examples

bg.add <- mlcm(BumpyGlossy)
bg.ind <- mlcm(BumpyGlossy, model = "ind", whichdim = 2)
bg.full <- mlcm(BumpyGlossy, model = "full")

anova(bg.ind, bg.add, bg.full, test = "Chisq")