M-Estimators for Generalized Ratio and Linear Regression Models


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Documentation for package ‘robRatio’ version 0.1.0

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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