%global __brp_check_rpaths %{nil}
%global packname  spnn
%global packver   1.2.1
%global rlibdir   /usr/local/lib/R/library

Name:             R-CRAN-%{packname}
Version:          1.2.1
Release:          3%{?dist}%{?buildtag}
Summary:          Scale Invariant Probabilistic Neural Networks

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
BuildRequires:    R-MASS >= 3.1.20
BuildRequires:    R-CRAN-Rcpp >= 1.0.0
BuildRequires:    R-CRAN-RcppArmadillo 
Requires:         R-MASS >= 3.1.20
Requires:         R-CRAN-Rcpp >= 1.0.0

%description
Scale invariant version of the original PNN proposed by Specht (1990)
<doi:10.1016/0893-6080(90)90049-q> with the added functionality of
allowing for smoothing along multiple dimensions while accounting for
covariances within the data set. It is written in the R statistical
programming language. Given a data set with categorical variables, we use
this algorithm to estimate the probabilities of a new observation vector
belonging to a specific category. This type of neural network provides the
benefits of fast training time relative to backpropagation and statistical
generalization with only a small set of known observations.

%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}