summary.rfit: Summarize Rank-Based Linear Model Fits

In kloke/Rfit: Rank-Based Estimation for Linear Models

Summarize Rank-Based Linear Model Fits

Description

Provides a summary similar to the traditional least squares fit.

Usage

## S3 method for class 'rfit'
summary(object,overall.test,...)

Arguments

object	an object of class 'rfit', usually, a result of a call to 'rfit'
overall.test	either 'wald' or 'drop'
...	additional arguments

Details

Provides summary statistics based on a rank-based fit. A table of estimates, standard errors, t-ratios, and p-values are provided. An overall test of the explantory variables is provided; the default is to use a Wald test. A drop in dispersion test is also availble in which case a robust R^2 is provided as well.

Author(s)

John Kloke

References

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

Examples

data(baseball)
fit<-rfit(weight~height,data=baseball)
summary(fit)
summary(fit,overall.test='drop')

kloke/Rfit documentation built on Sept. 9, 2023, 7:20 p.m.