Gaussian Process Regression for Scalar and Functional Inputs with funGp - The in-depth tour
José Betancourt, François Bachoc, Thierry Klein · HAL (Le Centre pour la Communication Scientifique Directe) · 2020
This is a comprehensive guide to creating and manipulating Gaussian process regression models using the R package funGp. It illustrates through examples, the usage of every function in the package and each example is accompanied by a code snippet to shorten the learning curve through direct usage of the functions.