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Weights are assigned according to the Anscombe residuals

Usage

algo.farrington.assign.weights(s, weightsThreshold=1)

Arguments

s

Vector of standardized Anscombe residuals

weightsThreshold

A scalar indicating when observations are seen as outlier. In the original Farrington proposal the value was 1 (default value), in the improved version this value is suggested to be 2.58.

Value

Weights according to the residuals