| anova.mlcm {MLCM} | R Documentation |
Compute an analysis of deviance table for one or more maximum likelihood conjoint measurement model fits.
## S3 method for class 'mlcm': anova(object, ..., dispersion = NULL, test = NULL)
object, ... |
objects of class mlcm, typically the result of a call to mlcm |
dispersion |
the dispersion parameter for the fitting family. By default, it is obtained from the object(s) |
test |
a character string (partially) matching one of "Chisq", "F", or "Cp". See stat.anova. Normally, "Chisq" is the appropriate value, here. |
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..
An object of class "anova" inheriting from class "data.frame".
see section Warnings in anova for warnings.
Kenneth Knoblauch
Ho, Y. H., Landy. M. S. and Maloney, L. T. (2008). Conjoint measurement of gloss and surface texture. Psychological Science, 19, 196–204.
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")