21  hyper_gam from gam

The examples in Chapter 21 require that the search path contains the following namespaces. See the explanation of the function name conflict in Section 7.3.5.

library(groupedHyperframe)
library(hyper.gam)
# Registered S3 method overwritten by 'pROC':
#   method   from            
#   plot.roc spatstat.explore

Function hyper.gam::hyper_gam() (v0.2.1.20151031) creates an R object of the S3 class 'hyper_gam', which inherits from the S3 class 'gam' (Chapter 17) from package mgcv (Wood 2017, v1.9.4) with an additional attribute,

Package hyper.gam (v0.2.1.20151031) implements the following S3 methods to the class 'hyper_gam' (Table 21.1),

Table 21.1: S3 methods hyper.gam::*.hyper_gam (v0.2.1.20151031)
visible generic isS4
contour.hyper_gam TRUE graphics::contour FALSE
cor_xy.hyper_gam TRUE hyper.gam::cor_xy FALSE
persp.hyper_gam TRUE graphics::persp FALSE
predict.hyper_gam TRUE stats::predict FALSE
sign_adjust.hyper_gam TRUE hyper.gam::sign_adjust FALSE
update.hyper_gam TRUE stats::update FALSE

21.1 Sign Adjustment

The S3 generic functions hyper.gam::sign_adjust() and hyper.gam::cor_xy() ..

🚧 Rest of this section is under construction. Expected delivery by 2025-12-31.

21.2 Visualization

The S3 methods contour.hyper_gam() and persp.hyper_gam() .. Listing 5.1 ..

🚧 Rest of this section is under construction. Expected delivery by 2025-12-31.

Visualization of the integrand surface (Chapter 5, Equation 5.3) in functions integrandSurface(), persp.hyper_gam() and contour.hyper_gam() is inspired by function mgcv::vis.gam(). Visualization of the integrand paths, as well as their projections on the \((p,q)\)- and \((p,s)\)-plane, is an original idea and design by Tingting Zhan.

21.3 Prediction

The S3 method hyper.gam::predict.hyper_gam() calculates the quantile index predictors of the training and/or test data set, based on the training model m1a (Chapter 5, Listing 5.2). The returned value is a numeric vector.

Function hyper.gam::predict.hyper_gam() is a convenient wrapper and slight modification of the S3 method mgcv::predict.gam(). The use of S3 generic stats::predict(), which is typically for predicted values, could be confusing, but we choose to follow the practice and nomenclature of function mgcv::predict.gam().

21.4 Update

The S3 method update.hyper_gam()

🚧 Rest of this section is under construction. Expected delivery by 2025-12-31.