Fitting and Predicting Large-Scale Nonlinear Regression Problems
using Multi-Resolution Functional ANOVA (MRFA) Approach
Description
Performs the MRFA approach proposed by Sung et al. (2020) to fit
and predict nonlinear regression problems, particularly for large-scale and
high-dimensional problems. The application includes deterministic or stochastic
computer experiments, spatial datasets, and so on.