summary.hbrfit: Summarize High Breakdown Rank-Based Linear Model Fits

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

Summarize High Breakdown Rank-Based Linear Model Fits

Description

Provides a summary similar to the traditional least squares fit.

Usage

## S3 method for class 'hbrfit'
summary(object, ...)

Arguments

object	an object of class 'hbrfit', usually, a result of a call to 'hbrfit'
...	additonal arguments. currently unused.

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

data(stars)
summary(hbrfit(light~temperature,data=stars))

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