File R-sdafilter.spec of Package R-sdafilter

# Automatically generated by CRAN2OBS
# 
# Spec file for package sdafilter 
# This file is auto-generated using information in the package source, 
# esp. Description and Summary. Improvements in that area should be 
# discussed with upstream. 
# 
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%global packname  sdafilter 
%global rlibdir   %{_libdir}/R/library 
 
Name:           R-%{packname} 
Version:        1.0.1 
Release:        0 
Summary:        Symmetrized Data Aggregation 
Group:          Development/Libraries/Other 
License:        GPL (>= 2) 
URL:            http://cran.r-project.org/web/packages/%{packname} 
Source:         sdafilter_1.0.1.tar.gz 
Requires:       R-base 
Requires:	R-glmnet
Requires:	R-glasso
Requires:	R-POET
Requires:	R-selectiveInference
Requires:	R-foreach
Requires:	R-shape
Requires:	R-Rcpp
Requires:	R-RcppEigen
Requires:	R-intervals
Requires:	R-adaptMCMC
Requires:	R-coda
Requires:	R-ramcmc
Requires:	R-iterators
Requires:	R-RcppArmadillo
 
# %%if 0%%{?sle_version} > 120400 || 0%%{?is_opensuse} 
# # Three others commonly needed 
# BuildRequires:  tex(ae.sty) 
# BuildRequires:  tex(fancyvrb.sty) 
# BuildRequires:  tex(inconsolata.sty) 
# BuildRequires:  tex(natbib.sty) 
# %else 
# BuildRequires:  texlive 
# %endif 
# BuildRequires:  texinfo 
BuildRequires:  fdupes 
BuildRequires:  R-base 
BuildRequires: 	R-glmnet
BuildRequires: 	R-glasso
BuildRequires: 	R-POET
BuildRequires: 	R-selectiveInference
BuildRequires: 	R-foreach
BuildRequires: 	R-shape
BuildRequires: 	R-Rcpp-devel
BuildRequires: 	R-RcppEigen-devel
BuildRequires: 	R-intervals
BuildRequires: 	R-adaptMCMC
BuildRequires: 	R-coda
BuildRequires: 	R-ramcmc
BuildRequires: 	R-iterators
BuildRequires: 	R-RcppArmadillo-devel
 
Suggests:	R-testthat
Suggests:	R-huge
Suggests:	R-pfa
%description 
We develop a new class of distribution free multiple testing rules for 
false discovery rate (FDR) control under general dependence. A key 
element in our proposal is a symmetrized data aggregation (SDA) 
approach to incorporating the dependence structure via sample 
splitting, data screening and information pooling. The proposed SDA 
filter first constructs a sequence of ranking statistics that fulfill 
global symmetry properties, and then chooses a data driven threshold 
along the ranking to control the FDR. For more information, see the 
website below and the accompanying paper: Du et al. (2023), "False 
Discovery Rate Control Under General Dependence By Symmetrized Data 
Aggregation", <doi:10.1080/01621459.2021.1945459>. Some optional 
functionality uses the archived R packages ‘huge’ and ‘pfa’, which are 
not available from CRAN’s main repositories. Users who need this 
optional functionality can obtain them from the CRAN Archive as 
follows: ‘huge’ at 
<https://cran.r-project.org/src/contrib/Archive/huge/>; ‘pfa’ at 
<https://cran.r-project.org/src/contrib/Archive/pfa/>. 
 
%prep 
%setup -q -c -n %{packname} 
# the next line is needed, because we build without --clean in between two packages 
rm -rf ~/.R  
 
 
%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 
%fdupes -s %{buildroot}%{rlibdir} 
 
#%%check 
#%%{_bindir}/R CMD check %%{packname} 
 
%files 
%dir %{rlibdir}/%{packname} 
%doc %{rlibdir}/%{packname}/DESCRIPTION
%{rlibdir}/%{packname}/INDEX
%{rlibdir}/%{packname}/Meta
%{rlibdir}/%{packname}/NAMESPACE
%{rlibdir}/%{packname}/R
%doc %{rlibdir}/%{packname}/help
%doc %{rlibdir}/%{packname}/html
 
%changelog 
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