%global __brp_check_rpaths %{nil}
%global __requires_exclude ^libmpi
%global packname  cbcTools
%global packver   0.5.0
%global rlibdir   /usr/local/lib/R/library

Name:             R-CRAN-%{packname}
Version:          0.5.0
Release:          1%{?dist}%{?buildtag}
Summary:          Choice-Based Conjoint Experiment Design Generation and Power Evaluation in R

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


BuildRequires:    R-devel >= 3.5.0
Requires:         R-core >= 3.5.0
BuildArch:        noarch
BuildRequires:    R-CRAN-logitr >= 1.0.1
BuildRequires:    R-CRAN-AlgDesign 
BuildRequires:    R-CRAN-DoE.base 
BuildRequires:    R-CRAN-fastDummies 
BuildRequires:    R-CRAN-ggplot2 
BuildRequires:    R-CRAN-idefix 
BuildRequires:    R-CRAN-MASS 
BuildRequires:    R-parallel 
BuildRequires:    R-CRAN-randtoolbox 
BuildRequires:    R-CRAN-rlang 
BuildRequires:    R-stats 
BuildRequires:    R-utils 
Requires:         R-CRAN-logitr >= 1.0.1
Requires:         R-CRAN-AlgDesign 
Requires:         R-CRAN-DoE.base 
Requires:         R-CRAN-fastDummies 
Requires:         R-CRAN-ggplot2 
Requires:         R-CRAN-idefix 
Requires:         R-CRAN-MASS 
Requires:         R-parallel 
Requires:         R-CRAN-randtoolbox 
Requires:         R-CRAN-rlang 
Requires:         R-stats 
Requires:         R-utils 

%description
Design and evaluate choice-based conjoint survey experiments. Generate a
variety of survey designs, including random designs, full factorial
designs, orthogonal designs, D-optimal designs, and Bayesian D-efficient
designs as well as designs with "no choice" options and "labeled" (also
known as "alternative specific") designs. Conveniently inspect the design
balance and overlap, and simulate choice data for a survey design either
randomly or according to a multinomial or mixed logit utility model
defined by user-provided prior parameters. Conduct a power analysis for a
given survey design by estimating the same model on different subsets of
the data to simulate different sample sizes. Full factorial and orthogonal
designs are obtained using the 'DoE.base' package (Grömping, 2018)
<doi:10.18637/jss.v085.i05>. D-optimal designs are obtained using the
'AlgDesign' package (Wheeler, 2022)
<https://CRAN.R-project.org/package=AlgDesign>. Bayesian D-efficient
designs are obtained using the 'idefix' package (Traets et al, 2020)
<doi:10.18637/jss.v096.i03>. Choice simulation and model estimation in
power analyses are handled using the 'logitr' package (Helveston, 2023)
<doi:10.18637/jss.v105.i10>.

%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}