%global __brp_check_rpaths %{nil}
%global packname  plde
%global packver   0.1.2
%global rlibdir   /usr/local/lib/R/library

Name:             R-CRAN-%{packname}
Version:          0.1.2
Release:          3%{?dist}%{?buildtag}
Summary:          Penalized Log-Density Estimation Using Legendre Polynomials

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

%description
We present a penalized log-density estimation method using Legendre
polynomials with lasso penalty to adjust estimate's smoothness.
Re-expressing the logarithm of the density estimator via a linear
combination of Legendre polynomials, we can estimate parameters by
maximizing the penalized log-likelihood function. Besides, we proposed an
implementation strategy that builds on the coordinate decent algorithm,
together with the Bayesian information criterion (BIC).

%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}