%global __brp_check_rpaths %{nil}
%global packname  BlockCov
%global packver   0.1.1
%global rlibdir   /usr/local/lib/R/library

Name:             R-CRAN-%{packname}
Version:          0.1.1
Release:          3%{?dist}%{?buildtag}
Summary:          Estimation of Large Block Covariance Matrices

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-Matrix 
BuildRequires:    R-stats 
BuildRequires:    R-CRAN-Rdpack 
BuildRequires:    R-CRAN-BBmisc 
BuildRequires:    R-CRAN-dplyr 
BuildRequires:    R-CRAN-tibble 
BuildRequires:    R-CRAN-magrittr 
BuildRequires:    R-CRAN-rlang 
Requires:         R-Matrix 
Requires:         R-stats 
Requires:         R-CRAN-Rdpack 
Requires:         R-CRAN-BBmisc 
Requires:         R-CRAN-dplyr 
Requires:         R-CRAN-tibble 
Requires:         R-CRAN-magrittr 
Requires:         R-CRAN-rlang 

%description
Computation of large covariance matrices having a block structure up to a
permutation of their columns and rows from a small number of samples with
respect to the dimension of the matrix. The method is described in the
paper Perrot-Dockès et al. (2019) <arXiv:1806.10093>.

%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}