Description Usage Arguments Value Author(s) See Also Examples
Comparison of cumulative link models in likelihood ratio tests. The models may differ by terms in location, scale and nominal formulae, in link, threshold function and random effect structure.
1 2 3 4 
object 
a 
... 
one or more additional 
test 
if 
The method returns an object of class Anova
(for printing) and
data.frame
with the following elements
Model 
character description of the cumulative link models being compared. Location, scale and nominal formulae are separated by ""s in this order. 
Resid.df 
the residual degrees of freedom 
2logLik 
twice the negative log likelihood (proportional to the deviance) 
Test 
indication of which models are being compared. 
DF 
the difference in the degrees of freedom in the models being compared, i.e. the degrees of freedom for the chisquared test. 
LR stat. 
the likelihood ratio statistic. 
Pr(Chi) 
the pvalue from the likelihood ratio test. Absent if

Rune Haubo B Christensen
clm2
, addterm
,
dropterm
and
anova.default
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16  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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