R: M-Estimators for Generalized Ratio and Linear Regression Models

# M-Estimators for Generalized Ratio and Linear Regression Models

## Documentation for package ‘robRatio’ version 0.1.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package README

## Help Pages

Hirls.aad | Robust estimator for the linear regression model with Huber's weight function and AAD scal by iteratively re-weighted least squares (IRLS) algorithm
Hirls.mad | Robust estimator for the linear regression model with Huber's weight function and MAD scal by iteratively re-weighted least squares (IRLS) algorithm
robGR | Robust estimator for a generalized ratio model
robRatio | Robust estimator for ratio models
robReg | [Robust estimator for regression models
RrH.aad | Robust estimator for a generalized ratio model with Huber's weight function and AAD scal by iteratively re-weighted least squares (IRLS) algorithm for M-estimation
RrH.mad | Robust estimator for a generalized ratio model with Huber's weight function and MAD scal by iteratively re-weighted least squares (IRLS) algorithm for M-estimation
RrT.aad | Robust estimator for a generalized ratio model with Tukey biweight function and AAD scale by iteratively re-weighted least squares (IRLS) algorithm for M-estimation
RrT.mad | Robust estimator for a generalized ratio model with Tukey biweight function and MAD scale by iteratively re-weighted least squares (IRLS) algorithm for M-estimation
Tirls.aad | Robust estimator for the linear regression model with Tukey's biweight function and AAD scal by iteratively re-weighted least squares (IRLS) algorithm
Tirls.mad | Robust estimator for the linear regression model with Tukey's biweight function and MAD scale by iteratively re-weighted least squares (IRLS) algorithm