cooks.distance.kspm: Cook's distance for a Kernel Semi Parametric Model Fit
In KSPM: Kernel Semi-Parametric Models

Description Usage Arguments Details Value Author(s) See Also

Computes the Cook's distance method for an object of class "kspm".

1 2	## S3 method for class 'kspm' cooks.distance(model, ...)

`model`	an model of class "kspm", usually, a result of a call to `kspm`.
`...`	furter arguments passed to or from other methods (currently unused).

Cook's distance values (C_i) are computed as follows: C_i = (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.

A vector containing Cook's distance values.

Catherine Schramm, Aurelie Labbe, Celia Greenwood

kspm for fitting model, residuals.kspm, rstandard.kspm, plot.kspm.

KSPM documentation built on Aug. 10, 2020, 5:07 p.m.