rstandard.kspm: Standardized residuals for Kernel Semi parametric Model Fits
In KSPM: Kernel Semi-Parametric Models

Description Usage Arguments Details Value Author(s) See Also

computes standardized residuals for an object of class "kspm".

1 2	## S3 method for class 'kspm' rstandard(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).

Standardized residuals t_i are obtained by t_i = e_i / hat(sigma) sqrt(1 - h_ii) where e_i is the residual, hat(sigma) is the estimated standard deviation of the errors and h_ii is the leverage of subject i, i.e. the i th diagonal element of the Hat matrix.

a vector containing the standardized residuals.

Catherine Schramm, Aurelie Labbe, Celia Greenwood

kspm for fitting model, residuals.kspm, cooks.distance.kspm, plot.kspm.

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