%global __brp_check_rpaths %{nil}
%global packname  Ohit
%global packver   1.0.0
%global rlibdir   /usr/local/lib/R/library

Name:             R-CRAN-%{packname}
Version:          1.0.0
Release:          3%{?dist}%{?buildtag}
Summary:          OGA+HDIC+Trim and High-Dimensional Linear Regression Models

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
Ing and Lai (2011) <doi:10.5705/ss.2010.081> proposed a high-dimensional
model selection procedure that comprises three steps: orthogonal greedy
algorithm (OGA), high-dimensional information criterion (HDIC), and Trim.
The first two steps, OGA and HDIC, are used to sequentially select input
variables and determine stopping rules, respectively. The third step,
Trim, is used to delete irrelevant variables remaining in the second step.
This package aims at fitting a high-dimensional linear regression model
via OGA+HDIC+Trim.

%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}