Computes the Cook's distance method for an object of class "kspm".
# S3 method for kspm
cooks.distance(model, ...)an model of class "kspm", usually, a result of a call to kspm.
furter arguments passed to or from other methods (currently unused).
A vector containing Cook's distance values.
Cook's distance values (\(C_i\)) are computed as follows: \(C_i = \frac{e_i^2 h_{ii}}{\hat{\sigma}^2 tr(H) (1-h_{ii})^2}\) where e_i is the residual of subject i, h_ii is the i th diagonal element of Hat matrix H corresponding to the leverage associated with subject i and tr(H) is the trace of the Hat matrix H.
kspm for fitting model, residuals.kspm, rstandard.kspm, plot.kspm.