%global __brp_check_rpaths %{nil}
%global packname  ipwCoxCSV
%global packver   1.0
%global rlibdir   /usr/local/lib/R/library

Name:             R-CRAN-%{packname}
Version:          1.0
Release:          3%{?dist}%{?buildtag}
Summary:          Inverse Probability Weighted Cox Model with Corrected SandwichVariance

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-survival 
BuildRequires:    R-stats 
Requires:         R-survival 
Requires:         R-stats 

%description
An implementation of corrected sandwich variance (CSV) estimation method
for making inference of marginal hazard ratios (HR) in inverse probability
weighted (IPW) Cox model without and with clustered data, proposed by Shu,
Young, Toh, and Wang (2019) in their paper under revision for Biometrics.
Both conventional inverse probability weights and stabilized weights are
implemented. Logistic regression model is assumed for propensity score
model.

%prep
%setup -q -c -n %{packname}


%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

%files
%{rlibdir}/%{packname}