%global __brp_check_rpaths %{nil}
%global packname  predkmeans
%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:          Covariate Adaptive Clustering

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


BuildRequires:    R-devel
Requires:         R-core
BuildRequires:    R-CRAN-Rcpp >= 0.11.5
BuildRequires:    R-CRAN-maxLik 
BuildRequires:    R-CRAN-e1071 
BuildRequires:    R-mgcv 
BuildRequires:    R-CRAN-RcppArmadillo 
Requires:         R-CRAN-Rcpp >= 0.11.5
Requires:         R-CRAN-maxLik 
Requires:         R-CRAN-e1071 
Requires:         R-mgcv 

%description
Implements the predictive k-means method for clustering observations,
using a mixture of experts model to allow covariates to influence cluster
centers. Motivated by air pollution epidemiology settings, where cluster
membership needs to be predicted across space. Includes functions for
predicting cluster membership using spatial splines and principal
component analysis (PCA) scores using either multinomial logistic
regression or support vector machines (SVMs). For method details see
Keller et al. (2017) <doi:10.1214/16-AOAS992>.

%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}