anova.betareg {betareg}R Documentation

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).

Author(s)

Alexandre de Bustamante Simas, Instituto de Matemática Pura e Aplicada (alesimas@impa.br). Andréa Vanessa Rocha (andrea@cox.de.ufpe.br) contributed in the development of this function.

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)

[Package betareg version 1.2 Index]