%global __brp_check_rpaths %{nil}
%global packname  higrad
%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:          Statistical Inference for Online Learning and StochasticApproximation via HiGrad

License:          GPL-3
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-Matrix 
Requires:         R-Matrix 

%description
Implements the Hierarchical Incremental GRAdient Descent (HiGrad)
algorithm, a first-order algorithm for finding the minimizer of a function
in online learning just like stochastic gradient descent (SGD). In
addition, this method attaches a confidence interval to assess the
uncertainty of its predictions. See Su and Zhu (2018) <arXiv:1802.04876>
for details.

%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}