Package: fence 1.0

Thuan Nguyen

fence: Using Fence Methods for Model Selection

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>.

Authors:Jiming Jiang, Jianyang Zhao, J. Sunil Rao, Thuan Nguyen

fence_1.0.tar.gz
fence_1.0.tar.gz(r-4.5-noble)fence_1.0.tar.gz(r-4.4-noble)
fence_1.0.tgz(r-4.4-emscripten)fence_1.0.tgz(r-4.3-emscripten)
fence.pdf |fence.html
fence/json (API)

# Install 'fence' in R:
install.packages('fence', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

10 exports 0.00 score 41 dependencies 13 scripts 153 downloads

Last updated 7 years agofrom:6e54e77537. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 08 2024
R-4.5-linuxOKSep 08 2024

Exports:adaptivefenceadaptivefence.fhfence.lmerfence.NFfence.saeIF.lmIF.lmerinvisiblefencenonadaptivefenceRF

Dependencies:bootclicolorspacedotCall64fansifarverfieldsggplot2gluegtableisobandlabelinglatticelifecyclelme4magrittrmapsMASSMatrixmgcvminqamunsellnlmenloptrpillarpkgconfigR6RColorBrewerRcppRcppEigenrlangsaescalessnowsnowfallspamtibbleutf8vctrsviridisLitewithr