%global __brp_check_rpaths %{nil}
%global __requires_exclude ^libmpi
%global packname  CAST
%global packver   1.0.2
%global rlibdir   /usr/local/lib/R/library

Name:             R-CRAN-%{packname}
Version:          1.0.2
Release:          1%{?dist}%{?buildtag}
Summary:          'caret' Applications for Spatial-Temporal Models

License:          GPL (>= 2)
URL:              https://cran.r-project.org/package=%{packname}
Source0:          %{url}&version=%{packver}#/%{packname}_%{packver}.tar.gz


BuildRequires:    R-devel >= 4.1.0
Requires:         R-core >= 4.1.0
BuildArch:        noarch
BuildRequires:    R-CRAN-caret 
BuildRequires:    R-stats 
BuildRequires:    R-utils 
BuildRequires:    R-CRAN-ggplot2 
BuildRequires:    R-graphics 
BuildRequires:    R-CRAN-FNN 
BuildRequires:    R-CRAN-plyr 
BuildRequires:    R-CRAN-zoo 
BuildRequires:    R-methods 
BuildRequires:    R-grDevices 
BuildRequires:    R-CRAN-data.table 
BuildRequires:    R-CRAN-sf 
BuildRequires:    R-CRAN-forcats 
BuildRequires:    R-CRAN-twosamples 
BuildRequires:    R-CRAN-terra 
BuildRequires:    R-CRAN-sp 
Requires:         R-CRAN-caret 
Requires:         R-stats 
Requires:         R-utils 
Requires:         R-CRAN-ggplot2 
Requires:         R-graphics 
Requires:         R-CRAN-FNN 
Requires:         R-CRAN-plyr 
Requires:         R-CRAN-zoo 
Requires:         R-methods 
Requires:         R-grDevices 
Requires:         R-CRAN-data.table 
Requires:         R-CRAN-sf 
Requires:         R-CRAN-forcats 
Requires:         R-CRAN-twosamples 
Requires:         R-CRAN-terra 
Requires:         R-CRAN-sp 

%description
Supporting functionality to run 'caret' with spatial or spatial-temporal
data. 'caret' is a frequently used package for model training and
prediction using machine learning. CAST includes functions to improve
spatial or spatial-temporal modelling tasks using 'caret'. It includes the
newly suggested 'Nearest neighbor distance matching' cross-validation to
estimate the performance of spatial prediction models and allows for
spatial variable selection to selects suitable predictor variables in view
to their contribution to the spatial model performance. CAST further
includes functionality to estimate the (spatial) area of applicability of
prediction models. Methods are described in Meyer et al. (2018)
<doi:10.1016/j.envsoft.2017.12.001>; Meyer et al. (2019)
<doi:10.1016/j.ecolmodel.2019.108815>; Meyer and Pebesma (2021)
<doi:10.1111/2041-210X.13650>; Milà et al. (2022)
<doi:10.1111/2041-210X.13851>; Meyer and Pebesma (2022)
<doi:10.1038/s41467-022-29838-9>; Linnenbrink et al. (2023)
<doi:10.5194/egusphere-2023-1308>. The package is described in detail in
Meyer et al. (2024) <doi:10.48550/arXiv.2404.06978>.

%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}