%global __brp_check_rpaths %{nil}
%global packname  highDmean
%global packver   0.1.0
%global rlibdir   /usr/local/lib/R/library

Name:             R-CRAN-%{packname}
Version:          0.1.0
Release:          3%{?dist}%{?buildtag}
Summary:          Testing Two-Sample Mean in High Dimension

License:          GPL-2
URL:              https://cran.r-project.org/package=%{packname}
Source0:          %{url}&version=%{packver}#/%{packname}_%{packver}.tar.gz


BuildRequires:    R-devel >= 3.1.0
Requires:         R-core >= 3.1.0
BuildArch:        noarch
BuildRequires:    R-stats 
Requires:         R-stats 

%description
Implements the high-dimensional two-sample test proposed by Zhang (2019)
<http://hdl.handle.net/2097/40235>. It also implements the test proposed
by Srivastava, Katayama, and Kano (2013) <doi:10.1016/j.jmva.2012.08.014>.
These tests are particularly suitable to high dimensional data from two
populations for which the classical multivariate Hotelling's T-square test
fails due to sample sizes smaller than dimensionality. In this case, the
ZWL and ZWLm tests proposed by Zhang (2019)
<http://hdl.handle.net/2097/40235>, referred to as zwl_test() in this
package, provide a reliable and powerful test.

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

find -type f -executable -exec grep -Iq . {} \; -exec sed -i -e '$a\' {} \;

%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}