Fitting and Predicting Large-Scale Nonlinear Regression Problems using Multi-Resolution Functional ANOVA (MRFA) Approach
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Overview
About
Maintained by Chih-Li SungCRAN page ↗
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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NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Maintainer: ‘Chih-Li Sung <sungchih@msu.edu>’
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Authors@R: person(given = "Chih-Li",
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email = "sungchih@msu.edu")
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- NOTE11 OK, 2 NOTENow
- NOTE12 OK, 2 NOTE2026-03-10
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Documentation
In release 0.6
READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
- Help pages
- 6
- Examples that run
- 0%6 never run
- Exported functions with examples
- 100%
- Documented parameters
- 93%
- Return-value docs
- 100%
- Help pages citing references
- 0%
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2.4K
CRAN downloads in the past year
Rank #19,727 · ~7/day · ~200/mo
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25030 days
66990 days
2.4K1 year
Also on68 r2u2 autocran
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Releases (4)
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- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- 0.6Latest
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- RR 3.6.0 released · 2019-04-26
- 0.42019-01-08 · diff ↗
- RR 3.5.0 released · 2018-04-23
- 0.22017-09-22 · diff ↗
- 0.12017-07-14
- RR 3.4.0 released · 2017-04-21
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Package metadata
- First published
- 2017-07-14
- Total releases
- 4 / 9 yrs
- License
- GPL-2 | GPL-3 OSI
- Minimum R
- ≥ 2.14.1
- Download size
- 28 KB
Cite
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Run in R for the authors' preferred citation:
citation("MRFA")Cite the R Observatory
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