betareg (version 1.2.1)

gen.lev.betareg: Generalized leverage values

Description

Compute the generalized leverages values for beta regression models.

Usage

gen.lev.betareg(x, ...)

Arguments

x

a fitted model using betareg.

...

further arguments passed to or from other methods.

Value

• This function returns a vector containing the generalized leverage values. The generalized leverage was proposed by Wei, Hu and Fung and was adapted to the beta regression model 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.

WEI, B.-C., HU, Y.-Q. and FUNG, W.-K. (1998). Generalized leverage and its applications. Scandinavian Journal of Statistics, 25, 25-37

See Also

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

Examples

data(pratergrouped)
fit <- betareg(oil ~ batch1 + batch2 + batch3 + batch4 + batch5 + 
batch6 + batch7 + batch8 + batch9 + temp, data=pratergrouped)
gen.lev.betareg(fit)