%global __brp_check_rpaths %{nil}
%global __requires_exclude ^libmpi
%global packname  smoothic
%global packver   1.2.0
%global rlibdir   /usr/local/lib/R/library

Name:             R-CRAN-%{packname}
Version:          1.2.0
Release:          1%{?dist}%{?buildtag}
Summary:          Variable Selection Using a Smooth Information Criterion

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


BuildRequires:    R-devel >= 3.5.0
Requires:         R-core >= 3.5.0
BuildArch:        noarch
BuildRequires:    R-CRAN-data.table 
BuildRequires:    R-CRAN-dplyr 
BuildRequires:    R-CRAN-ggplot2 
BuildRequires:    R-CRAN-MASS 
BuildRequires:    R-CRAN-numDeriv 
BuildRequires:    R-CRAN-purrr 
BuildRequires:    R-CRAN-rlang 
BuildRequires:    R-CRAN-stringr 
BuildRequires:    R-CRAN-tibble 
BuildRequires:    R-CRAN-tidyr 
BuildRequires:    R-CRAN-toOrdinal 
Requires:         R-CRAN-data.table 
Requires:         R-CRAN-dplyr 
Requires:         R-CRAN-ggplot2 
Requires:         R-CRAN-MASS 
Requires:         R-CRAN-numDeriv 
Requires:         R-CRAN-purrr 
Requires:         R-CRAN-rlang 
Requires:         R-CRAN-stringr 
Requires:         R-CRAN-tibble 
Requires:         R-CRAN-tidyr 
Requires:         R-CRAN-toOrdinal 

%description
Implementation of the SIC epsilon-telescope method, either using single or
distributional (multiparameter) regression. Includes classical regression
with normally distributed errors and robust regression, where the errors
are from the Laplace distribution. The "smooth generalized normal
distribution" is used, where the estimation of an additional shape
parameter allows the user to move smoothly between both types of
regression. See O'Neill and Burke (2022) "Robust Distributional Regression
with Automatic Variable Selection" for more details. <arXiv:2212.07317>.
This package also contains the data analyses from O'Neill and Burke
(2023). "Variable selection using a smooth information criterion for
distributional regression models". <doi:10.1007/s11222-023-10204-8>.

%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
[ -d %{packname}/src ] && find %{packname}/src/Make* -type f -exec \
  sed -i 's@-g0@@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}