%global __brp_check_rpaths %{nil}
%global packname  wNNSel
%global packver   0.1
%global rlibdir   /usr/local/lib/R/library

Name:             R-CRAN-%{packname}
Version:          0.1
Release:          3%{?dist}%{?buildtag}
Summary:          Weighted Nearest Neighbor Imputation of Missing Values usingSelected Variables

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-stats 
Requires:         R-stats 

%description
New tools for the imputation of missing values in high-dimensional data
are introduced using the non-parametric nearest neighbor methods. It
includes weighted nearest neighbor imputation methods that use specific
distances for selected variables. It includes an automatic procedure of
cross validation and does not require prespecified values of the tuning
parameters. It can be used to impute missing values in high-dimensional
data when the sample size is smaller than the number of predictors. For
more information see Faisal and Tutz (2017) <doi:10.1515/sagmb-2015-0098>.

%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}