MRFA: Fitting and Predicting Large-Scale Nonlinear Regression Problems using Multi-Resolution Functional ANOVA (MRFA) Approach (original) (raw)
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.
Version: | 0.6 |
---|---|
Depends: | R (≥ 2.14.1) |
Imports: | fields, glmnet, grplasso, methods, plyr, randtoolbox, foreach, stats, graphics, utils |
Published: | 2023-11-10 |
DOI: | 10.32614/CRAN.package.MRFA |
Author: | Chih-Li Sung |
Maintainer: | Chih-Li Sung |
License: | GPL-2 | GPL-3 |
NeedsCompilation: | no |
CRAN checks: | MRFA results |
Documentation:
Downloads:
Linking:
Please use the canonical formhttps://CRAN.R-project.org/package=MRFAto link to this page.