%global __brp_check_rpaths %{nil}
%global __requires_exclude ^libmpi
%global packname  Rrepest
%global packver   1.3.0
%global rlibdir   /usr/local/lib/R/library

Name:             R-CRAN-%{packname}
Version:          1.3.0
Release:          1%{?dist}%{?buildtag}
Summary:          An Analyzer of International Large Scale Assessments in Education

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


BuildRequires:    R-devel >= 4.2.0
Requires:         R-core >= 4.2.0
BuildArch:        noarch
BuildRequires:    R-parallel >= 4.2.1
BuildRequires:    R-CRAN-tibble >= 3.1.8
BuildRequires:    R-CRAN-labelled >= 2.9.1
BuildRequires:    R-CRAN-magrittr >= 2.0.3
BuildRequires:    R-CRAN-foreach >= 1.5.2
BuildRequires:    R-CRAN-stringr >= 1.5.0
BuildRequires:    R-CRAN-tidyr >= 1.2.0
BuildRequires:    R-CRAN-data.table >= 1.14.8
BuildRequires:    R-CRAN-dplyr >= 1.1.2
BuildRequires:    R-CRAN-doParallel >= 1.0.17
BuildRequires:    R-CRAN-flextable >= 0.7.2
BuildRequires:    R-CRAN-officer >= 0.6.2
BuildRequires:    R-CRAN-purrr >= 0.3.4
Requires:         R-parallel >= 4.2.1
Requires:         R-CRAN-tibble >= 3.1.8
Requires:         R-CRAN-labelled >= 2.9.1
Requires:         R-CRAN-magrittr >= 2.0.3
Requires:         R-CRAN-foreach >= 1.5.2
Requires:         R-CRAN-stringr >= 1.5.0
Requires:         R-CRAN-tidyr >= 1.2.0
Requires:         R-CRAN-data.table >= 1.14.8
Requires:         R-CRAN-dplyr >= 1.1.2
Requires:         R-CRAN-doParallel >= 1.0.17
Requires:         R-CRAN-flextable >= 0.7.2
Requires:         R-CRAN-officer >= 0.6.2
Requires:         R-CRAN-purrr >= 0.3.4

%description
A fast way to analyze International Large-Scale Assessments (ILSAs) or any
other dataset that includes replicated weights (Balanced Repeated
Replication (BRR) weights, Jackknife replicate weights,...) and/or
plausible values. 'Rrepest' contains functionalities that enable you to
calculate basic statistics (means, correlations, etc.), frequencies,
linear regression, or any other model already implemented in R that takes
a data frame and weights as parameters. It also includes options to
prepare the results for publication, following the table formatting
standards of the Organization for Economic Cooperation and Development
(OECD).

%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}