%global __brp_check_rpaths %{nil}
%global __requires_exclude ^libmpi
%global packname  BGVAR
%global packver   2.5.8
%global rlibdir   /usr/local/lib/R/library

Name:             R-CRAN-%{packname}
Version:          2.5.8
Release:          1%{?dist}%{?buildtag}
Summary:          Bayesian Global Vector Autoregressions

License:          GPL-3
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
BuildRequires:    R-CRAN-stochvol >= 3.0.3
BuildRequires:    R-CRAN-Rcpp >= 1.0.3
BuildRequires:    R-CRAN-abind 
BuildRequires:    R-CRAN-bayesm 
BuildRequires:    R-CRAN-coda 
BuildRequires:    R-CRAN-GIGrvg 
BuildRequires:    R-graphics 
BuildRequires:    R-CRAN-knitr 
BuildRequires:    R-CRAN-MASS 
BuildRequires:    R-CRAN-Matrix 
BuildRequires:    R-methods 
BuildRequires:    R-parallel 
BuildRequires:    R-CRAN-RcppParallel 
BuildRequires:    R-CRAN-readxl 
BuildRequires:    R-stats 
BuildRequires:    R-utils 
BuildRequires:    R-CRAN-xts 
BuildRequires:    R-CRAN-zoo 
BuildRequires:    R-CRAN-RcppArmadillo 
BuildRequires:    R-CRAN-RcppProgress 
Requires:         R-CRAN-stochvol >= 3.0.3
Requires:         R-CRAN-Rcpp >= 1.0.3
Requires:         R-CRAN-abind 
Requires:         R-CRAN-bayesm 
Requires:         R-CRAN-coda 
Requires:         R-CRAN-GIGrvg 
Requires:         R-graphics 
Requires:         R-CRAN-knitr 
Requires:         R-CRAN-MASS 
Requires:         R-CRAN-Matrix 
Requires:         R-methods 
Requires:         R-parallel 
Requires:         R-CRAN-RcppParallel 
Requires:         R-CRAN-readxl 
Requires:         R-stats 
Requires:         R-utils 
Requires:         R-CRAN-xts 
Requires:         R-CRAN-zoo 

%description
Estimation of Bayesian Global Vector Autoregressions (BGVAR) with
different prior setups and the possibility to introduce stochastic
volatility. Built-in priors include the Minnesota, the stochastic search
variable selection and Normal-Gamma (NG) prior. For a reference see also
Crespo Cuaresma, J., Feldkircher, M. and F. Huber (2016) "Forecasting with
Global Vector Autoregressive Models: a Bayesian Approach", Journal of
Applied Econometrics, Vol. 31(7), pp. 1371-1391 <doi:10.1002/jae.2504>.
Post-processing functions allow for doing predictions, structurally
identify the model with short-run or sign-restrictions and compute impulse
response functions, historical decompositions and forecast error variance
decompositions. Plotting functions are also available. The package has a
companion paper: Boeck, M., Feldkircher, M. and F. Huber (2022) "BGVAR:
Bayesian Global Vector Autoregressions with Shrinkage Priors in R",
Journal of Statistical Software, Vol. 104(9), pp. 1-28
<doi:10.18637/jss.v104.i09>.

%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}