%global __brp_check_rpaths %{nil}
%global __requires_exclude ^libmpi
%global packname  SurrogateParadoxTest
%global packver   2.2
%global rlibdir   /usr/local/lib/R/library

Name:             R-CRAN-%{packname}
Version:          2.2
Release:          1%{?dist}%{?buildtag}
Summary:          Empirical Testing of Surrogate Paradox Assumptions

License:          GPL
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-stats 
BuildRequires:    R-CRAN-MonotonicityTest 
BuildRequires:    R-CRAN-MASS 
BuildRequires:    R-CRAN-ggplot2 
BuildRequires:    R-CRAN-Rcpp 
BuildRequires:    R-splines 
BuildRequires:    R-parallel 
BuildRequires:    R-CRAN-numDeriv 
BuildRequires:    R-CRAN-Matrix 
BuildRequires:    R-CRAN-RcppArmadillo 
Requires:         R-stats 
Requires:         R-CRAN-MonotonicityTest 
Requires:         R-CRAN-MASS 
Requires:         R-CRAN-ggplot2 
Requires:         R-CRAN-Rcpp 
Requires:         R-splines 
Requires:         R-parallel 
Requires:         R-CRAN-numDeriv 
Requires:         R-CRAN-Matrix 

%description
Provides functions to nonparametrically assess assumptions sufficient to
prevent the surrogate paradox through hypothesis tests of stochastic
dominance, monotonicity of conditional mean functions, and non-negative
residual treatment effect. Details are described in: Hsiao E, Tian L, and
Parast L (2026). "Avoiding the surrogate paradox: an empirical framework
for assessing assumptions." Journal of Nonparametric Statistics
<doi:10.1080/10485252.2025.2498609>. There are also functions to assess
resilience to the surrogate paradox via calculation of the resilience
probability, the resilience bound, and the resilience set. Details will be
available in Hsiao E, Tian L, and Parast L, "Resilience Measures for the
Surrogate Paradox" (Under Review). Lastly, there is a function to assess
resilience to the surrogate paradox in the met-analytic setting, described
in Hsiao E and Parast L, "A Functional-Class Meta-Analytic Framework for
Quantifying Surrogate Resilience" (Under Review).  A tutorial for this
package can be found at
<https://www.laylaparast.com/surrogateparadoxtest>.

%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}