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MRFA: Fitting and Predicting Large-Scale Nonlinear Regression Problems using Multi-Resolution Functional ANOVA (MRFA) Approach
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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Package details |
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| Author | Chih-Li Sung |
| Maintainer | Chih-Li Sung <sungchih@msu.edu> |
| License | GPL-2 | GPL-3 |
| Version | 0.6 |
| Package repository | View on CRAN |
| Installation |
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