R Observatory: Metrics for fence version 1.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

fence

1.0

Using Fence Methods for Model Selection

0packages depend

2.5Kdownloads / year

–test coverage

11/13checks pass

Overview

About

Maintained by Thuan NguyenFirst published 2017-07-011 releasesCRAN page ↗

This method is a new class of model selection strategies, for mixed model selection, which includes linear and generalized linear mixed models. The idea involves a procedure to isolate a subgroup of what are known as correct models (of which the optimal model is a member). This is accomplished by constructing a statistical fence, or barrier, to carefully eliminate incorrect models. Once the fence is constructed, the optimal model is selected from among those within the fence according to a criterion which can be made flexible. References: 1. Jiang J., Rao J.S., Gu Z., Nguyen T. (2008), Fence Methods for Mixed Model Selection. The Annals of Statistics, 36(4): 1669-1692. DOI:10.1214/07-AOS517 https://projecteuclid.org/euclid.aos/1216237296. 2. Jiang J., Nguyen T., Rao J.S. (2009), A Simplified Adaptive Fence Procedure. Statistics and Probability Letters, 79, 625-629. DOI:10.1016/j.spl.2008.10.014 https://www.researchgate.net/publication/23991417_A_simplified_adaptive_fence_procedure 3. Jiang J., Nguyen T., Rao J.S. (2010), Fence Method for Nonparametric Small Area Estimation. Survey Methodology, 36(1), 3-11. http://publications.gc.ca/collections/collection_2010/statcan/12-001-X/12-001-x2010001-eng.pdf. 4. Jiming Jiang, Thuan Nguyen and J. Sunil Rao (2011), Invisible fence methods and the identification of differentially expressed gene sets. Statistics and Its Interface, Volume 4, 403-415. http://www.intlpress.com/site/pub/files/_fulltext/journals/sii/2011/0004/0003/SII-2011-0004-0003-a014.pdf. 5. Thuan Nguyen & Jiming Jiang (2012), Restricted fence method for covariate selection in longitudinal data analysis. Biostatistics, 13(2), 303-314. DOI:10.1093/biostatistics/kxr046 https://academic.oup.com/biostatistics/article/13/2/303/263903/Restricted-fence-method-for-covariate-selection-in. 6. Thuan Nguyen, Jie Peng, Jiming Jiang (2014), Fence Methods for Backcross Experiments. Statistical Computation and Simulation, 84(3), 644-662. DOI:10.1080/00949655.2012.721885 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3891925/. 7. Jiang, J. (2014), The fence methods, in Advances in Statistics, Hindawi Publishing Corp., Cairo. DOI:10.1155/2014/830821. 8. Jiming Jiang and Thuan Nguyen (2015), The Fence Methods, World Scientific, Singapore. https://www.abebooks.com/9789814596060/Fence-Methods-Jiming-Jiang-981459606X/plp.

Install

R (CRAN)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("fence", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-fence

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-fence

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-fence

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed).

Health

CRAN checks

2NOTE11OK

Failing flavors

NOTE r-devel-linux-x86_64-debian-clang
NOTE r-devel-linux-x86_64-debian-gcc

Slowest check: 2.8 min · r-oldrel-windows-x86_64

Code health

None

Tests · ratio 0.00

not tracked

Coverage

100%

Documentation · exports

10

Dependencies · direct

Check history

NOTE2026-03-10
12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMENoVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo

Examples that run: 40%
Documented parameters: 95%
Return-value docs: 100%
References docs: 63%

Downloads

2.5K

CRAN downloads in the past year

Rank #15,491 · ~7/day · ~210/mo

Releases R versions

Daily download trend is not available in this view yet.

19130 days

67490 days

2.5K1 year

Compare downloads with other packages →

Also on108 r2u14 autocran

Dependencies

Declared dependencies

7 external dependencies (excludes base and recommended)

Depends (1)

R >= 2.10

Imports (10)

MASSstatslme4 ggplot2compilersae fieldsgrDevicessnowfall snow

LinkingTo (0)

none

Suggests (1)

pscl

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (0)

Author records are not tracked yet for this package.

Listed in earlier versions (4)

Jiming Jiang

no longer listed · 1.0

Thuan Nguyen

no longer listed · 1.0

J. Sunil Rao

no longer listed · 1.0

Jianyang Zhao

no longer listed · 1.0

Package Timeline

1 release. R releases are shown for context.

R
R 4.6.0 released · 2026-04-24
1.0Latest
2026-03-10 · current release
R
R 4.5.0 released · 2025-04-11

Package metadata

First published: 2017-07-01
Total releases: 1 / 9 yrs
License: BSD_2_clause + file LICENSE OSI
Minimum R: ≥ 2.10
Bundled data: 13 KB / 3 files
Download size: 36 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("fence")

Cite the R Observatory

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Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for fence version 1.0 [Data set]. HJJB, LLC. Data release v2026-08-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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