%global __brp_check_rpaths %{nil}
%global packname  fence
%global packver   1.0
%global rlibdir   /usr/local/lib/R/library

Name:             R-CRAN-%{packname}
Version:          1.0
Release:          3%{?dist}%{?buildtag}
Summary:          Using Fence Methods for Model Selection

License:          BSD_2_clause + file LICENSE
URL:              https://cran.r-project.org/package=%{packname}
Source0:          %{url}&version=%{packver}#/%{packname}_%{packver}.tar.gz


BuildRequires:    R-devel >= 2.10
Requires:         R-core >= 2.10
BuildArch:        noarch
BuildRequires:    R-MASS 
BuildRequires:    R-stats 
BuildRequires:    R-CRAN-lme4 
BuildRequires:    R-CRAN-ggplot2 
BuildRequires:    R-CRAN-sae 
BuildRequires:    R-CRAN-fields 
BuildRequires:    R-grDevices 
BuildRequires:    R-CRAN-snowfall 
BuildRequires:    R-CRAN-snow 
Requires:         R-MASS 
Requires:         R-stats 
Requires:         R-CRAN-lme4 
Requires:         R-CRAN-ggplot2 
Requires:         R-CRAN-sae 
Requires:         R-CRAN-fields 
Requires:         R-grDevices 
Requires:         R-CRAN-snowfall 
Requires:         R-CRAN-snow 

%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>.

%prep
%setup -q -c -n %{packname}


%build

%install

mkdir -p %{buildroot}%{rlibdir}
%{_bindir}/R CMD INSTALL -l %{buildroot}%{rlibdir} %{packname}
test -d %{packname}/src && (cd %{packname}/src; rm -f *.o *.so)
rm -f %{buildroot}%{rlibdir}/R.css

%files
%{rlibdir}/%{packname}