%global __brp_check_rpaths %{nil}
%global __requires_exclude ^libmpi
%global packname  GeDS
%global packver   0.3.3
%global rlibdir   /usr/local/lib/R/library

Name:             R-CRAN-%{packname}
Version:          0.3.3
Release:          1%{?dist}%{?buildtag}
Summary:          Geometrically Designed Spline Regression

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


BuildRequires:    R-devel >= 4.4.0
Requires:         R-core >= 4.4.0
BuildRequires:    R-CRAN-doFuture 
BuildRequires:    R-CRAN-doParallel 
BuildRequires:    R-CRAN-doRNG 
BuildRequires:    R-CRAN-foreach 
BuildRequires:    R-CRAN-future 
BuildRequires:    R-graphics 
BuildRequires:    R-grDevices 
BuildRequires:    R-CRAN-MASS 
BuildRequires:    R-CRAN-Matrix 
BuildRequires:    R-CRAN-mboost 
BuildRequires:    R-parallel 
BuildRequires:    R-CRAN-plot3D 
BuildRequires:    R-CRAN-Rcpp 
BuildRequires:    R-splines 
BuildRequires:    R-stats 
BuildRequires:    R-utils 
Requires:         R-CRAN-doFuture 
Requires:         R-CRAN-doParallel 
Requires:         R-CRAN-doRNG 
Requires:         R-CRAN-foreach 
Requires:         R-CRAN-future 
Requires:         R-graphics 
Requires:         R-grDevices 
Requires:         R-CRAN-MASS 
Requires:         R-CRAN-Matrix 
Requires:         R-CRAN-mboost 
Requires:         R-parallel 
Requires:         R-CRAN-plot3D 
Requires:         R-CRAN-Rcpp 
Requires:         R-splines 
Requires:         R-stats 
Requires:         R-utils 

%description
Spline regression, generalized additive models and component-wise gradient
boosting utilizing geometrically designed (GeD) splines. GeDS regression
is a non-parametric method inspired by geometric principles, for fitting
spline regression models with variable knots in one or two independent
variables. It efficiently estimates the number of knots and their
positions, as well as the spline order, assuming the response variable
follows a distribution from the exponential family. GeDS models integrate
the broader category of generalized (non-)linear models, offering a
flexible approach to model complex relationships. A description of the
method can be found in Kaishev et al. (2016)
<doi:10.1007/s00180-015-0621-7> and Dimitrova et al. (2023)
<doi:10.1016/j.amc.2022.127493>. Further extending its capabilities,
GeDS's implementation includes generalized additive models (GAM) and
functional gradient boosting (FGB), enabling versatile multivariate
predictor modeling, as discussed in the forthcoming work of Dimitrova et
al. (2025).

%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}