Package: MRFA
Type: Package
Title: Fitting and Predicting Large-Scale Nonlinear Regression Problems
        using Multi-Resolution Functional ANOVA (MRFA) Approach
Version: 0.6
Date: 2023-11-01
Author: Chih-Li Sung
Maintainer: Chih-Li Sung <sungchih@msu.edu>
Description: 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.
License: GPL-2 | GPL-3
RoxygenNote: 7.2.3
Depends: R (>= 2.14.1)
Imports: fields, glmnet, grplasso, methods, plyr, randtoolbox, foreach,
        stats, graphics, utils
NeedsCompilation: no
Packaged: 2023-11-10 15:03:08 UTC; sungchih
Repository: CRAN
Date/Publication: 2023-11-10 19:43:20 UTC
Built: R 4.6.0; ; 2026-04-28 07:11:58 UTC; unix
