Using Fence Methods for Model Selection
Overview
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
Health
NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Maintainer: ‘Thuan Nguyen <nguythua@ohsu.edu>’
No Authors@R field in DESCRIPTION.
Please add one, modifying
Authors@R: c(person(given = "Jiming",
family = "Jiang",
role = "aut"),
person(given = "Jianyang",
family = "Zhao",
role = "aut"),
person(given = c("J.", "Sunil"),
family = "Rao",
role = "aut"),
person(given = "Thuan",
family = "Nguyen",
role = c("aut", "cre"),
email = "nguythua@ohsu.edu"))
as necessary.- NOTE11 OK, 2 NOTENow
- NOTE12 OK, 2 NOTE2026-03-10
Documentation
- Help pages
- 16
- Examples that run
- 40%4 run in a plain check · 6 never run
- Exported functions with examples
- 100%
- Documented parameters
- 95%
- Return-value docs
- 100%
- Help pages citing references
- 63%
Downloads
Dependencies
Installing fence adds 32 packages (17 with compiled code, 35 MB of source tarballs). Heaviest: ggplot2 6.0 MB, lme4 4.1 MB, fields 3.9 MB.
CRAN will archive these unless their check problems are fixed by the date shown. This package needs each one to install.
- saefix by Nov 2
Code & Tests
Datasets
People & History
Maintainer since 1.0 (2017)
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- 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
- RR 3.5.0 released · 2018-04-23
- 1.0Latest2017-07-01 · current release
- RR 3.4.0 released · 2017-04-21
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
Cite
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