%global __brp_check_rpaths %{nil}
%global __requires_exclude ^libmpi
%global packname  MVN
%global packver   6.1
%global rlibdir   /usr/local/lib/R/library

Name:             R-CRAN-%{packname}
Version:          6.1
Release:          1%{?dist}%{?buildtag}
Summary:          Multivariate Normality Tests

License:          MIT + file LICENSE
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-methods 
BuildRequires:    R-CRAN-nortest 
BuildRequires:    R-CRAN-moments 
BuildRequires:    R-CRAN-MASS 
BuildRequires:    R-CRAN-boot 
BuildRequires:    R-CRAN-car 
BuildRequires:    R-CRAN-dplyr 
BuildRequires:    R-CRAN-tidyr 
BuildRequires:    R-CRAN-purrr 
BuildRequires:    R-CRAN-stringr 
BuildRequires:    R-CRAN-tibble 
BuildRequires:    R-CRAN-ggplot2 
BuildRequires:    R-CRAN-viridis 
BuildRequires:    R-CRAN-cli 
BuildRequires:    R-CRAN-energy 
BuildRequires:    R-CRAN-plotly 
BuildRequires:    R-CRAN-mice 
Requires:         R-methods 
Requires:         R-CRAN-nortest 
Requires:         R-CRAN-moments 
Requires:         R-CRAN-MASS 
Requires:         R-CRAN-boot 
Requires:         R-CRAN-car 
Requires:         R-CRAN-dplyr 
Requires:         R-CRAN-tidyr 
Requires:         R-CRAN-purrr 
Requires:         R-CRAN-stringr 
Requires:         R-CRAN-tibble 
Requires:         R-CRAN-ggplot2 
Requires:         R-CRAN-viridis 
Requires:         R-CRAN-cli 
Requires:         R-CRAN-energy 
Requires:         R-CRAN-plotly 
Requires:         R-CRAN-mice 

%description
A comprehensive suite for assessing multivariate normality using six
statistical tests (Mardia, Henze–Zirkler, Henze–Wagner, Royston,
Doornik–Hansen, Energy). Also includes univariate diagnostics, bivariate
density visualization, robust outlier detection, power transformations
(e.g., Box–Cox, Yeo–Johnson), and imputation strategies ("mean", "median",
"mice") for handling missing data. Bootstrap resampling is supported for
selected tests to improve p-value accuracy in small samples. Diagnostic
plots are available via both 'ggplot2' and interactive 'plotly'
visualizations. See Korkmaz et al. (2014)
<https://journal.r-project.org/archive/2014-2/korkmaz-goksuluk-zararsiz.pdf>.

%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}