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Rfit (version 0.09)

Rank Estimation for Linear Models

Description

Rank estimation and inference for linear models. Estimation is for general scores and a library of commonly used score functions is included.

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Version

Install

install.packages('Rfit')

Monthly Downloads

1,497

Version

0.09

License

GPL (>= 2)

Maintainer

John Kloke

Last Published

October 7th, 2010

Functions in Rfit (0.09)

drop.test

Drop (Reduction) in Dispersion Test

baseball

The World Famous Baseball Data

bbsalaries

Baseball Salaries

grad

Calculate the Gradiant of Jaekel's Dispersion Function

signedrank

Signed-Rank Estimate of Location (Intercept)

irlsweights

Function for Iterated Reweighted Least Squares R-type estimates

disp

Jaeckel's Dispersion Function

jaeckel

Function to Minimize Jaeckel's Dispersion Function

Rfit-package

Rank-Based Estimates and Inference for Linear Models

scores-class

Class "scores"

vcov.rfit

Variance-Covariance Matrix for Rank-Based Regression

irls

Function for Iterated Reweighted Least Squares R-type estimates

print.rfit

Rfit Internal Print Functions

Internal Functions for Estimating tau

rfit

Rank-based Estimates of Regression Coefficients

rstudent.rfit

Studentized Residuals for Rank-Based Regression

taustar

Estimate of the Scale Parameter taustar

summary.rfit

Summarize Rank-Based Linear Model Fits

gettau

Estimate of the Scale Parameter tau