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: 2026-10-14 07:56:55 UTC; root
Repository: https://chihli.r-universe.dev
Date/Publication: 2023-11-10 21:30:28 UTC
RemoteUrl: https://github.com/cran/MRFA
RemoteRef: HEAD
RemoteSha: 1d414715d5dee945b3493e0e7d406871a309760d