%global __brp_check_rpaths %{nil}
%global packname  TeachNet
%global packver   0.7.1
%global rlibdir   /usr/local/lib/R/library

Name:             R-CRAN-%{packname}
Version:          0.7.1
Release:          3%{?dist}%{?buildtag}
Summary:          Fits Neural Networks to Learn About Backpropagation

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


BuildRequires:    R-devel
Requires:         R-core
BuildArch:        noarch
BuildRequires:    R-methods 
Requires:         R-methods 

%description
Can fit neural networks with up to two hidden layer and two different
error functions. Also able to handle a weight decay. But just able to
compute one output neuron and very slow.

%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
%{rlibdir}/%{packname}