adf_gof.class: An S4 class to represent the Goodness-of-Fit of the Angular...
In ReturnCurves: Estimation of Return Curves
adf_gof.class 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
adfAn S4 object of class adf_est.class.
ray- \loadmathjax
Ray \mjeqn\omega to be considered on the goodness of fit assessment.
blocksizeSize of the blocks for the block bootstrap procedure. If 1 (default), then a standard bootstrap approach is applied.
nbootNumber of bootstrap samples to be taken. Default is 250 samples.
alphaSignificance level to compute the \mjeqn(1-\alpha)% confidence intervals. Default is 0.05.
gofA list containing the model and empirical exponential quantiles, and the lower and upper bound of the confidence interval.
ReturnCurves documentation built on April 4, 2025, 5:36 a.m.
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| adf_gof.class | 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
adfAn S4 object of class
adf_est.class.ray- \loadmathjax
Ray \mjeqn\omega to be considered on the goodness of fit assessment.
blocksizeSize of the blocks for the block bootstrap procedure. If
1(default), then a standard bootstrap approach is applied.nbootNumber of bootstrap samples to be taken. Default is
250samples.alphaSignificance level to compute the \mjeqn(1-\alpha)% confidence intervals. Default is
0.05.gofA list containing the model and empirical exponential quantiles, and the lower and upper bound of the confidence interval.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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