%global __brp_check_rpaths %{nil}
%global packname  VBsparsePCA
%global packver   0.1.0
%global rlibdir   /usr/local/lib/R/library

Name:             R-CRAN-%{packname}
Version:          0.1.0
Release:          1%{?dist}%{?buildtag}
Summary:          The Variational Bayesian Method for Sparse PCA

License:          GPL-3
URL:              https://cran.r-project.org/package=%{packname}
Source0:          %{url}&version=%{packver}#/%{packname}_%{packver}.tar.gz


BuildRequires:    R-devel >= 3.6.0
Requires:         R-core >= 3.6.0
BuildArch:        noarch
BuildRequires:    R-CRAN-MASS 
BuildRequires:    R-CRAN-pracma 
BuildRequires:    R-stats 
BuildRequires:    R-utils 
Requires:         R-CRAN-MASS 
Requires:         R-CRAN-pracma 
Requires:         R-stats 
Requires:         R-utils 

%description
Contains functions for a variational Bayesian method for sparse PCA
proposed by Ning (2020) <arXiv:2102.00305>. There are two algorithms: the
PX-CAVI algorithm (if assuming the loadings matrix is jointly row-sparse)
and the batch PX-CAVI algorithm (if without this assumption). The outputs
of the main function, VBsparsePCA(), include the mean and covariance of
the loadings matrix, the score functions, the variable selection results,
and the estimated variance of the random noise.

%prep
%setup -q -c -n %{packname}

# fix end of executable files
find -type f -executable -exec grep -Iq . {} \; -exec sed -i -e '$a\' {} \;
# prevent binary stripping
[ -d %{packname}/src ] && find %{packname}/src -type f -exec \
  sed -i 's@/usr/bin/strip@/usr/bin/true@g' {} \; || true
# don't allow local prefix in executable scripts
find -type f -executable -exec sed -Ei 's@#!( )*/usr/local/bin@#!/usr/bin@g' {} \;

%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
# remove buildroot from installed files
find %{buildroot}%{rlibdir} -type f -exec sed -i "s@%{buildroot}@@g" {} \;

%files
%{rlibdir}/%{packname}