%global __brp_check_rpaths %{nil}
%global __requires_exclude ^libmpi
%global packname  Spower
%global packver   0.2.3
%global rlibdir   /usr/local/lib/R/library

Name:             R-CRAN-%{packname}
Version:          0.2.3
Release:          1%{?dist}%{?buildtag}
Summary:          Power Analyses using Monte Carlo Simulations

License:          GPL (>= 3)
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-SimDesign >= 2.19.1
BuildRequires:    R-stats 
BuildRequires:    R-CRAN-cocor 
BuildRequires:    R-CRAN-car 
BuildRequires:    R-CRAN-polycor 
BuildRequires:    R-CRAN-parallelly 
BuildRequires:    R-methods 
BuildRequires:    R-CRAN-ggplot2 
BuildRequires:    R-CRAN-plotly 
BuildRequires:    R-CRAN-lavaan 
BuildRequires:    R-CRAN-EnvStats 
Requires:         R-CRAN-SimDesign >= 2.19.1
Requires:         R-stats 
Requires:         R-CRAN-cocor 
Requires:         R-CRAN-car 
Requires:         R-CRAN-polycor 
Requires:         R-CRAN-parallelly 
Requires:         R-methods 
Requires:         R-CRAN-ggplot2 
Requires:         R-CRAN-plotly 
Requires:         R-CRAN-lavaan 
Requires:         R-CRAN-EnvStats 

%description
Provides a general purpose simulation-based power analysis API for routine
and customized simulation experimental designs. The package focuses
exclusively on Monte Carlo simulation variants of (expected) prospective
power analyses, criterion analyses, compromise analyses, sensitivity
analyses, and a priori analyses. The default simulation experiment
functions found within the package provide stochastic variants of the
power analyses subroutines found in the G*Power 3.1 software (Faul,
Erdfelder, Buchner, and Lang, 2009) <doi:10.3758/brm.41.4.1149>, along
with various other parametric and non-parametric power analysis examples
(e.g., mediation analyses). Supporting functions are also included, such
as for building empirical power curve estimates, which utilize a similar
API structure.

%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}