rstandard.kspm {KSPM}

Standardized residuals for Kernel Semi parametric Model Fits

Description

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

Usage

## S3 method for class 'kspm'
rstandard(model, ...)

Arguments

model

an model of class "kspm", usually, a result of a call to kspm.

...

furter arguments passed to or from other methods (currently unused).

Details

Standardized residuals t_i are obtained by t_i = \frac{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.

Value

a vector containing the standardized residuals.

Author(s)

Catherine Schramm, Aurelie Labbe, Celia Greenwood

See Also

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