Rank-Based Estimation for Linear Models
R ANOVA
Rank-based Oneway Analysis of Variance
Class "param"
Rfit Internal Print Functions
All Scores
Confidence interval adjustment methods
Jaeckel's Dispersion Function
Drop (Reduction) in Dispersion Test
~~ Methods for Function getScores ~~
~~ Methods for Function getScoresDeriv ~~
Estimate of the scale parameter tau
Calculate the Gradiant of Jaeckel's Dispersion Function
Function to Minimize Jaeckel's Dispersion Function
Internal Functions for K-Way analysis of variance
Rank-Based Estimates and Inference for Linear Models
Rank-based Estimates of Regression Coefficients
Studentized Residuals for Rank-Based Regression
Class "scores"
Signed-Rank Estimate of Location (Intercept)
Provides a summary for the oneway anova based on an R fit.
Summarize Rank-Based Linear Model Fits
Internal Functions for Estimating tau
Estimate of the Scale Parameter taustar
Variance-Covariance Matrix for Rank-Based Regression
Overall Wald test
Walsh Averages
Rank-based (R) estimation and inference for linear models. Estimation is for general scores and a library of commonly used score functions is included.