%global __brp_check_rpaths %{nil}
%global packname  SpatialRoMLE
%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:          Robust Maximum Likelihood Estimation for Spatial Error Model

License:          GPL-3
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

%description
Provides robust estimation for spatial error model to presence of outliers
in the residuals. The classical estimation methods can be influenced by
the presence of outliers in the data. We proposed a robust estimation
approach based on the robustified likelihood equations for spatial error
model (Vural Yildirim & Yeliz Mert Kantar (2020): Robust estimation
approach for spatial error model, Journal of Statistical Computation and
Simulation, <doi:10.1080/00949655.2020.1740223>).

%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}