adf_gof.class {ReturnCurves}R Documentation

An S4 class to represent the Goodness-of-Fit of the Angular Dependence Function estimates

Description

An S4 class to represent the Goodness-of-Fit of the Angular Dependence Function estimates

Usage

adf_gof.class(adf, ray, blocksize, nboot, alpha, gof)

Slots

adf

An S4 object of class adf_est.class.

ray

Ray \(\omega\) to be considered on the goodness of fit assessment.

blocksize

Size of the blocks for the block bootstrap procedure. If 1 (default), then a standard bootstrap approach is applied.

nboot

Number of bootstrap samples to be taken. Default is 250 samples.

alpha

Significance level to compute the \((1-\alpha)\)% confidence intervals. Default is 0.05.

gof

A list containing the model and empirical exponential quantiles, and the lower and upper bound of the confidence interval.


[Package ReturnCurves version 1.0 Index]