%global __brp_check_rpaths %{nil}
%global packname  MultisiteMediation
%global packver   0.0.4
%global rlibdir   /usr/local/lib/R/library

Name:             R-CRAN-%{packname}
Version:          0.0.4
Release:          1%{?dist}%{?buildtag}
Summary:          Causal Mediation Analysis in Multisite Trials

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


BuildRequires:    R-devel
Requires:         R-core
BuildArch:        noarch
BuildRequires:    R-CRAN-lme4 
BuildRequires:    R-CRAN-statmod 
BuildRequires:    R-CRAN-psych 
BuildRequires:    R-CRAN-MASS 
BuildRequires:    R-CRAN-ggplot2 
Requires:         R-CRAN-lme4 
Requires:         R-CRAN-statmod 
Requires:         R-CRAN-psych 
Requires:         R-CRAN-MASS 
Requires:         R-CRAN-ggplot2 

%description
Multisite causal mediation analysis using the methods proposed by Qin and
Hong (2017) <doi:10.3102/1076998617694879>, Qin, Hong, Deutsch, and Bein
(2019) <doi:10.1111/rssa.12446>, and Qin, Deutsch, and Hong (2021)
<doi:10.1002/pam.22268>. It enables causal mediation analysis in multisite
trials, in which individuals are assigned to a treatment or a control
group at each site. It allows for estimation and hypothesis testing for
not only the population average but also the between-site variance of
direct and indirect effects transmitted through one single mediator or two
concurrent (conditionally independent) mediators. This strategy
conveniently relaxes the assumption of no treatment-by-mediator
interaction while greatly simplifying the outcome model specification
without invoking strong distributional assumptions. This package also
provides a function that can further incorporate a sample weight and a
nonresponse weight for multisite causal mediation analysis in the presence
of complex sample and survey designs and non-random nonresponse, to
enhance both the internal validity and external validity. The package also
provides a weighting-based balance checking function for assessing the
remaining overt bias.

%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}