%global __brp_check_rpaths %{nil}
%global __requires_exclude ^libmpi
%global packname  tsnet
%global packver   0.1.0
%global rlibdir   /usr/local/lib/R/library

Name:             R-CRAN-%{packname}
Version:          0.1.0
Release:          1%{?dist}%{?buildtag}
Summary:          Fitting, Comparing, and Visualizing Networks Based on Time Series Data

License:          GPL-3
URL:              https://cran.r-project.org/package=%{packname}
Source0:          %{url}&version=%{packver}#/%{packname}_%{packver}.tar.gz


BuildRequires:    R-devel >= 3.4.0
Requires:         R-core >= 3.4.0
BuildRequires:    R-CRAN-RcppParallel >= 5.0.1
BuildRequires:    R-CRAN-rstantools >= 2.3.1.1
BuildRequires:    R-CRAN-rstan >= 2.18.1
BuildRequires:    R-CRAN-StanHeaders >= 2.18.0
BuildRequires:    R-CRAN-BH >= 1.66.0
BuildRequires:    R-CRAN-RcppEigen >= 0.3.3.3.0
BuildRequires:    R-CRAN-Rcpp >= 0.12.0
BuildRequires:    R-CRAN-cowplot 
BuildRequires:    R-CRAN-dplyr 
BuildRequires:    R-CRAN-ggdist 
BuildRequires:    R-CRAN-ggokabeito 
BuildRequires:    R-CRAN-ggplot2 
BuildRequires:    R-methods 
BuildRequires:    R-CRAN-posterior 
BuildRequires:    R-CRAN-rlang 
BuildRequires:    R-stats 
BuildRequires:    R-CRAN-tidyr 
BuildRequires:    R-utils 
BuildRequires:    R-CRAN-rstantools
Requires:         R-CRAN-RcppParallel >= 5.0.1
Requires:         R-CRAN-rstantools >= 2.3.1.1
Requires:         R-CRAN-rstan >= 2.18.1
Requires:         R-CRAN-Rcpp >= 0.12.0
Requires:         R-CRAN-cowplot 
Requires:         R-CRAN-dplyr 
Requires:         R-CRAN-ggdist 
Requires:         R-CRAN-ggokabeito 
Requires:         R-CRAN-ggplot2 
Requires:         R-methods 
Requires:         R-CRAN-posterior 
Requires:         R-CRAN-rlang 
Requires:         R-stats 
Requires:         R-CRAN-tidyr 
Requires:         R-utils 
Requires:         R-CRAN-rstantools

%description
Fit, compare, and visualize Bayesian graphical vector autoregressive
(GVAR) network models using 'Stan'. These models are commonly used in
psychology to represent temporal and contemporaneous relationships between
multiple variables in intensive longitudinal data. Fitted models can be
compared with a test based on matrix norm differences of posterior point
estimates to quantify the differences between two estimated networks. See
also Siepe, Kloft & Heck (2024) <doi:10.31234/osf.io/uwfjc>.

%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}