%global __brp_check_rpaths %{nil}
%global packname  sGMRFmix
%global packver   0.3.0
%global rlibdir   /usr/local/lib/R/library

Name:             R-CRAN-%{packname}
Version:          0.3.0
Release:          3%{?dist}%{?buildtag}
Summary:          Sparse Gaussian Markov Random Field Mixtures for AnomalyDetection

License:          MIT + file LICENSE
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-CRAN-ggplot2 
BuildRequires:    R-CRAN-glasso 
BuildRequires:    R-CRAN-mvtnorm 
BuildRequires:    R-stats 
BuildRequires:    R-CRAN-tidyr 
BuildRequires:    R-utils 
BuildRequires:    R-CRAN-zoo 
Requires:         R-CRAN-ggplot2 
Requires:         R-CRAN-glasso 
Requires:         R-CRAN-mvtnorm 
Requires:         R-stats 
Requires:         R-CRAN-tidyr 
Requires:         R-utils 
Requires:         R-CRAN-zoo 

%description
An implementation of sparse Gaussian Markov random field mixtures
presented by Ide et al. (2016) <doi:10.1109/ICDM.2016.0119>. It provides a
novel anomaly detection method for multivariate noisy sensor data. It can
automatically handle multiple operational modes. And it can also compute
variable-wise anomaly scores.

%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}