Weights are assigned according to the Anscombe residuals

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

anscombe.residuals