%global __brp_check_rpaths %{nil}
%global __requires_exclude ^libmpi
%global packname  footBayes
%global packver   2.0.0
%global rlibdir   /usr/local/lib/R/library

Name:             R-CRAN-%{packname}
Version:          2.0.0
Release:          1%{?dist}%{?buildtag}
Summary:          Fitting Bayesian and MLE Football Models

License:          GPL-2
URL:              https://cran.r-project.org/package=%{packname}
Source0:          %{url}&version=%{packver}#/%{packname}_%{packver}.tar.gz


Recommends:       pandoc
BuildRequires:    R-devel >= 4.2.0
Requires:         R-core >= 4.2.0
BuildRequires:    R-CRAN-rstan >= 2.18.1
BuildRequires:    R-CRAN-instantiate 
BuildRequires:    R-CRAN-reshape2 
BuildRequires:    R-CRAN-ggplot2 
BuildRequires:    R-CRAN-ggridges 
BuildRequires:    R-CRAN-matrixStats 
BuildRequires:    R-CRAN-extraDistr 
BuildRequires:    R-CRAN-metRology 
BuildRequires:    R-CRAN-dplyr 
BuildRequires:    R-CRAN-tidyr 
BuildRequires:    R-CRAN-numDeriv 
BuildRequires:    R-CRAN-magrittr 
BuildRequires:    R-CRAN-rlang 
BuildRequires:    R-CRAN-posterior 
BuildRequires:    R-CRAN-rstantools
Requires:         R-CRAN-rstan >= 2.18.1
Requires:         R-CRAN-instantiate 
Requires:         R-CRAN-reshape2 
Requires:         R-CRAN-ggplot2 
Requires:         R-CRAN-ggridges 
Requires:         R-CRAN-matrixStats 
Requires:         R-CRAN-extraDistr 
Requires:         R-CRAN-metRology 
Requires:         R-CRAN-dplyr 
Requires:         R-CRAN-tidyr 
Requires:         R-CRAN-numDeriv 
Requires:         R-CRAN-magrittr 
Requires:         R-CRAN-rlang 
Requires:         R-CRAN-posterior 
Requires:         R-CRAN-rstantools

%description
This is the first package allowing for the estimation, visualization and
prediction of the most well-known football models: double Poisson,
bivariate Poisson, Skellam, student_t, diagonal-inflated bivariate
Poisson, and zero-inflated Skellam. It supports both maximum likelihood
estimation (MLE, for 'static' models only) and Bayesian inference. For
Bayesian methods, it incorporates several techniques: MCMC sampling with
Hamiltonian Monte Carlo, variational inference using either the Pathfinder
algorithm or Automatic Differentiation Variational Inference (ADVI), and
the Laplace approximation. The package compiles all the 'CmdStan' models
once during installation using the 'instantiate' package. The model
construction relies on the most well-known football references, such as
Dixon and Coles (1997) <doi:10.1111/1467-9876.00065>, Karlis and Ntzoufras
(2003) <doi:10.1111/1467-9884.00366> and Egidi, Pauli and Torelli (2018)
<doi:10.1177/1471082X18798414>.

%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}