%global __brp_check_rpaths %{nil}
%global packname  ESTER
%global packver   0.2.0
%global rlibdir   /usr/local/lib/R/library

Name:             R-CRAN-%{packname}
Version:          0.2.0
Release:          3%{?dist}%{?buildtag}
Summary:          Efficient Sequential Testing with Evidence Ratios

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


BuildRequires:    R-devel >= 3.3.0
Requires:         R-core >= 3.3.0
BuildArch:        noarch
BuildRequires:    R-CRAN-brms 
BuildRequires:    R-CRAN-lme4 
BuildRequires:    R-CRAN-dplyr 
BuildRequires:    R-CRAN-magrittr 
BuildRequires:    R-CRAN-tidyr 
BuildRequires:    R-CRAN-ggplot2 
BuildRequires:    R-CRAN-rlang 
BuildRequires:    R-CRAN-foreach 
BuildRequires:    R-CRAN-doParallel 
BuildRequires:    R-CRAN-cowplot 
Requires:         R-CRAN-brms 
Requires:         R-CRAN-lme4 
Requires:         R-CRAN-dplyr 
Requires:         R-CRAN-magrittr 
Requires:         R-CRAN-tidyr 
Requires:         R-CRAN-ggplot2 
Requires:         R-CRAN-rlang 
Requires:         R-CRAN-foreach 
Requires:         R-CRAN-doParallel 
Requires:         R-CRAN-cowplot 

%description
An implementation of sequential testing that uses evidence ratios computed
from the weights of a set of models. These weights correspond either to
Akaike weights computed from the Akaike Information Criterion (AIC) or the
Bayesian Information Criterion (BIC) and following Burnham & Anderson
(2004, <doi:10.1177/0049124104268644>) recommendations, or to pseudo-BMA
weights computed from the WAIC or the LOO-IC of models fitted with 'brms'
and following Yao et al. (2017, <arXiv:1704.02030v3>).

%prep
%setup -q -c -n %{packname}


%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

%files
%{rlibdir}/%{packname}