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Rfit (version 0.14)

Rank Estimation for Linear Models

Description

R 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

0.14

License

GPL (>= 2)

Maintainer

John Kloke

Last Published

October 29th, 2012

Functions in Rfit (0.14)

getScores-methods

~~ Methods for Function getScores ~~
signedrank

Signed-Rank Estimate of Location (Intercept)
param-class

Class "param"
walsh

Walsh Averages
allscores

All Scores
print.rfit

Rfit Internal Print Functions
raov

R ANOVA
scores-class

Class "scores"
taufuncs

Internal Functions for Estimating tau
jaeckel

Function to Minimize Jaeckel's Dispersion Function
BoxCox

Box and Cox (1964) data.
disp

Jaeckel's Dispersion Function
summary.oneway.rfit

Provides a summary for the oneway anova based on an R fit.
Rfit-package

Rank-Based Estimates and Inference for Linear Models
gettau

Estimate of the Scale Parameter tau
confintadjust

Confidence interval adjustment methods
bbsalaries

Baseball Salaries
rfit

Rank-based Estimates of Regression Coefficients
grad

Calculate the Gradiant of Jaekel's Dispersion Function
rstudent.rfit

Studentized Residuals for Rank-Based Regression
drop.test

Drop (Reduction) in Dispersion Test
kwayr

Internal Functions for K-Way analysis of variance
taustar

Estimate of the Scale Parameter taustar
oneway.rfit

Rank-based Oneway Analysis of Variance
summary.rfit

Summarize Rank-Based Linear Model Fits
getScoresDeriv-methods

~~ Methods for Function getScoresDeriv ~~
ffa

Free Fatty Acid Data
quail

Quail Data
vcov.rfit

Variance-Covariance Matrix for Rank-Based Regression
baseball

The World Famous Baseball Data
telephone

Telephone Data