%global packname  ttbary
%global packver   0.1-1
%global rlibdir   /usr/local/lib/R/library

Name:             R-CRAN-%{packname}
Version:          0.1.1
Release:          3%{?dist}
Summary:          Barycenter Methods for Spatial Point Patterns

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


BuildRequires:    R-devel >= 3.0.0
Requires:         R-core >= 3.0.0
BuildRequires:    R-CRAN-spatstat >= 1.50.0
BuildRequires:    R-grDevices 
BuildRequires:    R-graphics 
BuildRequires:    R-stats 
BuildRequires:    R-CRAN-Rcpp 
Requires:         R-CRAN-spatstat >= 1.50.0
Requires:         R-grDevices 
Requires:         R-graphics 
Requires:         R-stats 
Requires:         R-CRAN-Rcpp 

%description
Computes a point pattern in R^2 or on a graph that is representative of a
collection of many data patterns. The result is an approximate barycenter
(also known as Fréchet mean or prototype) based on a transport-transform
metric. Possible choices include Optimal SubPattern Assignment (OSPA) and
Spike Time metrics. Details can be found in Müller, Schuhmacher and Mateu
(2019) <arXiv:1909.07266>.

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


%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
%dir %{rlibdir}/%{packname}
%doc %{rlibdir}/%{packname}/html
%{rlibdir}/%{packname}/Meta
%{rlibdir}/%{packname}/help
%{rlibdir}/%{packname}/data
%{rlibdir}/%{packname}/DESCRIPTION
%{rlibdir}/%{packname}/NAMESPACE
%doc %{rlibdir}/%{packname}/NEWS
%{rlibdir}/%{packname}/R
%doc %{rlibdir}/%{packname}/CITATION
%{rlibdir}/%{packname}/INDEX
%{rlibdir}/%{packname}/libs