Package: fence
Type: Package
Title: Using Fence Methods for Model Selection
Version: 1.0
Date: 2017-05-29
Author: Jiming Jiang, Jianyang Zhao, J. Sunil Rao, Thuan Nguyen
Maintainer: Thuan Nguyen <nguythua@ohsu.edu>
Description: 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>.
License: BSD_2_clause + file LICENSE
Depends: R (>= 2.10)
Imports: MASS, stats, lme4, ggplot2, compiler, sae, fields, grDevices,
        snowfall, snow
Suggests: pscl
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2026-09-20 11:53:20 UTC; root
Repository: https://cran.r-universe.dev
Date/Publication: 2017-07-01 07:02:18 UTC
RemoteUrl: https://github.com/cran/fence
RemoteRef: HEAD
RemoteSha: 6e54e77537d211bee43ac8cfcfd2b5b0bea99bea