%global __brp_check_rpaths %{nil}
%global __requires_exclude ^libmpi
%global packname  hesim
%global packver   0.5.5
%global rlibdir   /usr/local/lib/R/library

Name:             R-CRAN-%{packname}
Version:          0.5.5
Release:          1%{?dist}%{?buildtag}
Summary:          Health Economic Simulation Modeling and Decision Analysis

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-Rcpp >= 0.12.16
BuildRequires:    R-CRAN-data.table 
BuildRequires:    R-CRAN-flexsurv 
BuildRequires:    R-CRAN-ggplot2 
BuildRequires:    R-CRAN-MASS 
BuildRequires:    R-CRAN-msm 
BuildRequires:    R-CRAN-R6 
BuildRequires:    R-stats 
BuildRequires:    R-CRAN-survival 
BuildRequires:    R-CRAN-RcppArmadillo 
Requires:         R-CRAN-Rcpp >= 0.12.16
Requires:         R-CRAN-data.table 
Requires:         R-CRAN-flexsurv 
Requires:         R-CRAN-ggplot2 
Requires:         R-CRAN-MASS 
Requires:         R-CRAN-msm 
Requires:         R-CRAN-R6 
Requires:         R-stats 
Requires:         R-CRAN-survival 

%description
A modular and computationally efficient R package for parameterizing,
simulating, and analyzing health economic simulation models. The package
supports cohort discrete time state transition models (Briggs et al. 1998)
<doi:10.2165/00019053-199813040-00003>, N-state partitioned survival
models (Glasziou et al. 1990) <doi:10.1002/sim.4780091106>, and
individual-level continuous time state transition models (Siebert et al.
2012) <doi:10.1016/j.jval.2012.06.014>, encompassing both Markov
(time-homogeneous and time-inhomogeneous) and semi-Markov processes.
Decision uncertainty from a cost-effectiveness analysis is quantified with
standard graphical and tabular summaries of a probabilistic sensitivity
analysis (Claxton et al. 2005, Barton et al. 2008) <doi:10.1002/hec.985>,
<doi:10.1111/j.1524-4733.2008.00358.x>. Use of C++ and data.table make
individual-patient simulation, probabilistic sensitivity analysis, and
incorporation of patient heterogeneity fast.

%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}