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Performs the MRFA approach proposed by Sung et al. (2020) doi:10.1080/01621459.2019.1595630 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.
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