%global __brp_check_rpaths %{nil}
%global packname  gsarima
%global packver   0.1-5
%global rlibdir   /usr/local/lib/R/library

Name:             R-CRAN-%{packname}
Version:          0.1.5
Release:          1%{?dist}%{?buildtag}
Summary:          Two Functions for Generalized SARIMA Time Series Simulation

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


BuildRequires:    R-devel >= 2.4.0
Requires:         R-core >= 2.4.0
BuildArch:        noarch
BuildRequires:    R-MASS 
Requires:         R-MASS 

%description
Write SARIMA models in (finite) AR representation and simulate generalized
multiplicative seasonal autoregressive moving average (time) series with
Normal / Gaussian, Poisson or negative binomial distribution. The
methodology of this method is described in Briet OJT, Amerasinghe PH, and
Vounatsou P (2013) <doi:10.1371/journal.pone.0065761>.

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

find -type f -executable -exec grep -Iq . {} \; -exec sed -i -e '$a\' {} \;
[ -d %{packname}/src ] && find %{packname}/src -type f -exec \
  sed -i 's@/usr/bin/strip@/usr/bin/true@g' {} \; || true

%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
find %{buildroot}%{rlibdir} -type f -exec sed -i "s@%{buildroot}@@g" {} \;

%files
%{rlibdir}/%{packname}