Nothing
cooks.distance.drc <- function(model, ...)
{
hatVal <- hatvalues(model)
mse <- (rse(model))^2
if (is.na(mse)) {mse <- 1}
# default for generalized linear models (assuming no overdispersion!)
(residuals(model)^2) * (hatVal/((1-hatVal)^2)) / ((length(hatVal)- df.residual(model)) * mse)
}
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