%global __brp_check_rpaths %{nil}
%global packname  mnonr
%global packver   1.0.0
%global rlibdir   /usr/local/lib/R/library

Name:             R-CRAN-%{packname}
Version:          1.0.0
Release:          3%{?dist}%{?buildtag}
Summary:          A Generator of Multivariate Non-Normal Random Numbers

License:          GPL-2 | GPL-3
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
A data generator of multivariate non-normal data in R. It combines two
different methods to generate non-normal data, one with user-specified
multivariate skewness and kurtosis (more details can be found in the
paper: Qu, Liu, & Zhang, 2019 <doi:10.3758/s13428-019-01291-5>), and the
other with the given marginal skewness and kurtosis. The latter one is the
widely-used Vale and Maurelli's method. It also contains a function to
calculate univariate and multivariate (Mardia's Test) skew and kurtosis.

%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}