%global __brp_check_rpaths %{nil}
%global packname  DidacticBoost
%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:          A Simple Implementation and Demonstration of Gradient Boosting

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


BuildRequires:    R-devel >= 3.1.1
Requires:         R-core >= 3.1.1
BuildArch:        noarch
BuildRequires:    R-rpart >= 4.1.10
Requires:         R-rpart >= 4.1.10

%description
A basic, clear implementation of tree-based gradient boosting designed to
illustrate the core operation of boosting models. Tuning parameters (such
as stochastic subsampling, modified learning rate, or regularization) are
not implemented. The only adjustable parameter is the number of training
rounds. If you are looking for a high performance boosting implementation
with tuning parameters, consider the 'xgboost' package.

%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}