ANODE Tables and Likelihood ratio test of cumulative link models
Type I, II, and III analysis of deviance (ANODE) tables for cumulative link models and comparison of cumulative link models with likelihood ratio tests. Models may differ by terms in location, scale and nominal formulae, in link, threshold function.
## S3 method for class 'clm'
anova(object, ..., type = c("I", "II", "III", "1", "2", "3"))The ANODE table returned when anova is called with a single model apply only to
terms in formula, that is, terms in nominal and scale are
ignored.
An analysis of deviance table based on Wald chi-square test if called with a single model and a comparison of models with likelihood ratio tests if called with more than one model.
Rune Haubo B Christensen
## Analysis of deviance tables with Wald chi-square tests:
fm <- clm(rating ~ temp * contact, scale=~contact, data=wine)
anova(fm, type="I")
anova(fm, type="II")
anova(fm, type="III")
options(contrasts = c("contr.treatment", "contr.poly"))
m1 <- clm2(SURENESS ~ PROD, scale = ~PROD, data = soup,
link = "logistic")
## anova
anova(m1, update(m1, scale = ~.-PROD))
mN1 <- clm2(SURENESS ~ 1, nominal = ~PROD, data = soup,
link = "logistic")
anova(m1, mN1)
anova(m1, update(m1, scale = ~.-PROD), mN1)
## Fit model from polr example:
if(require(MASS)) {
fm1 <- clm2(Sat ~ Infl + Type + Cont, weights = Freq, data = housing)
anova(fm1, update(fm1, scale =~ Cont))
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