betareg (version 1.2.1)

anova.betareg: A preliminary version for the analisys of variance table

Description

Compute an analysis of variance table for one or two model fits.

Usage

anova.betareg(object, object2, ...)

Arguments

object

a fitted model using betareg, if there are two models, then this model should be the restricted one

object2

(optional) a fitted model using betareg

...

further arguments passed to or from other methods.

Value

• If object2 is missing, an anova table is produced considering the null that the model contain only the intercept. If object2 isn't missing (i.e., a restricted model was placed), an anova table is produced considering the null that the second model is true. This "anova table" is constructed using the log-likelihood ratio test suggest by Ferrari and Cribari-Neto (2004).

References

FERRARI, S.L.P., CRIBARI-NETO, F. (2004). Beta regression for modeling rates and proportions. Journal of Applied Statistics, v. 31, n. 7, p. 799-815.

See Also

br.fit, summary.betareg, predict.betareg, residuals.betareg

Examples

data(pratergrouped)
fit1 <- betareg(oil ~ batch1 + batch2 + batch3 + batch4 + batch5 + 
batch6 + batch7 + batch8 + batch9 + temp, data=pratergrouped)
fit2 <- betareg(oil ~ batch1 + batch2 + temp, data=pratergrouped)
## With only one model
anova(fit1)
## With two models, note that the first model is the restricted one.
anova(fit2,fit1)