%global __brp_check_rpaths %{nil}
%global __requires_exclude ^libmpi
%global packname  extraSuperpower
%global packver   1.6.2
%global rlibdir   /usr/local/lib/R/library

Name:             R-CRAN-%{packname}
Version:          1.6.2
Release:          1%{?dist}%{?buildtag}
Summary:          Power Calculation for Two-Way Factorial Designs

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-CRAN-MASS >= 7.3.0
BuildRequires:    R-CRAN-afex >= 1.3.0
BuildRequires:    R-CRAN-rlang 
BuildRequires:    R-CRAN-Matrix 
BuildRequires:    R-CRAN-rlist 
BuildRequires:    R-CRAN-ggplot2 
BuildRequires:    R-CRAN-plyr 
BuildRequires:    R-CRAN-reshape2 
BuildRequires:    R-CRAN-scales 
BuildRequires:    R-CRAN-ggthemes 
BuildRequires:    R-CRAN-fGarch 
BuildRequires:    R-CRAN-truncnorm 
BuildRequires:    R-CRAN-sn 
BuildRequires:    R-CRAN-tmvtnorm 
BuildRequires:    R-CRAN-ARTool 
BuildRequires:    R-CRAN-permuco 
BuildRequires:    R-methods 
BuildRequires:    R-stats 
BuildRequires:    R-utils 
Requires:         R-CRAN-MASS >= 7.3.0
Requires:         R-CRAN-afex >= 1.3.0
Requires:         R-CRAN-rlang 
Requires:         R-CRAN-Matrix 
Requires:         R-CRAN-rlist 
Requires:         R-CRAN-ggplot2 
Requires:         R-CRAN-plyr 
Requires:         R-CRAN-reshape2 
Requires:         R-CRAN-scales 
Requires:         R-CRAN-ggthemes 
Requires:         R-CRAN-fGarch 
Requires:         R-CRAN-truncnorm 
Requires:         R-CRAN-sn 
Requires:         R-CRAN-tmvtnorm 
Requires:         R-CRAN-ARTool 
Requires:         R-CRAN-permuco 
Requires:         R-methods 
Requires:         R-stats 
Requires:         R-utils 

%description
The basic use of this package is with 3 sequential functions. First to
generate a cell mean matrix. In case of a repeated measurements design
also generate correlation and covariance matrices. This is followed by
iterative experiment simulation. Finally, power is calculated from the
simulated data. Features that may be considered in the model are
interaction, measure correlation, non-normal and unbalanced designs
distributions.

%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}