rstudent.hbrfit: Studentized Residuals for HBR Regression

In kloke/hbrfit: High breakdown rank-based (HBR) estimation for linear models

Studentized Residuals for HBR Regression

Description

Returns the Studentized residuals based on high breakdown rank-based estimation.

Usage

## S3 method for class 'hbrfit'
rstudent(model, ...)

Arguments

model	an object of class hbrfit
...	additonal arguments. currently not used.

Author(s)

Jeff Terpstra, Joe McKean, John Kloke

References

Chang, W. McKean, J.W., Naranjo, J.D., and Sheather, S.J. (1999), High breakdown rank-based regression, Journal of the American Statistical Association, 94, 205-219.

Hettmansperger, T.P. and McKean J.W. (2011), Robust Nonparametric Statistical Methods, 2nd ed., New York: Chapman-Hall.

Terpstra, J. and McKean, J.W. (2005), Rank-based analyses of linear models using R, Journal of Statistical Software, 14(7).

See Also

hbrfit

Examples

x<-runif(47)
y<-rcauchy(47)
qqnorm(rstudent(fit<-rfit(y~x)))
plot(x,rstudent(fit)) ; abline(h=c(-2,2))

kloke/hbrfit documentation built on Nov. 17, 2023, 2:33 p.m.