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]