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