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Fitting and Predicting Large-Scale Nonlinear Regression Problems using Multi-Resolution Functional ANOVA (MRFA) Approach

0packages depend
2.4Kdownloads / year
–test coverage
11/13flavors OK

Overview

About

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.

Install

Health

CRAN checks
2NOTE11OK
Check messages
NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Maintainer: ‘Chih-Li Sung <sungchih@msu.edu>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: person(given = "Chih-Li",
                    family = "Sung",
                    role = c("aut", "cre"),
                    email = "sungchih@msu.edu")
as necessary.

CRAN check page ↗

Slowest check: 2.0 min · r-oldrel-windows-x86_64
Status changes
  • NOTE11 OK, 2 NOTENow
  • NOTE12 OK, 2 NOTE2026-03-10
Advisories

none known

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%

Downloads

2.4K
CRAN downloads in the past year
Rank #19,727 · ~7/day · ~200/mo
Daily download trend is not available in this view yet.
25030 days
66990 days
2.4K1 year
Compare downloads with other packages →
Also on68 r2u2 autocran

Dependencies

Declared dependencies
6 external dependencies (excludes base and recommended)

Installing MRFA adds 16 packages (10 with compiled code, 19 MB of source tarballs). Heaviest: fields 3.9 MB, spam 3.1 MB, glmnet 2.7 MB.

Depends (1)
R >= 2.14.1
Imports (10)
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (from the free-text Author field) (1)

Maintainer since 0.1 (2017)

Releases (4)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • 0.6Latest
    record
    2023-11-10 · current release · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • R
    R 3.6.0 released · 2019-04-26
  • 0.4
    record
    2019-01-08 · diff ↗
  • R
    R 3.5.0 released · 2018-04-23
  • 0.2
    record
    2017-09-22 · diff ↗
  • 0.1
    record
    2017-07-14
  • R
    R 3.4.0 released · 2017-04-21

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

Cite this package

Run in R for the authors' preferred citation:

citation("MRFA")

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for MRFA version 0.6 [Data set]. HJJB, LLC. Data release v2026-10-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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