%global __brp_check_rpaths %{nil}
%global packname  evidenceFactors
%global packver   1.8
%global rlibdir   /usr/local/lib/R/library

Name:             R-CRAN-%{packname}
Version:          1.8
Release:          3%{?dist}%{?buildtag}
Summary:          Reporting Tools for Sensitivity Analysis of Evidence Factors inObservational Studies

License:          MIT + file LICENSE
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-sensitivitymv 
Requires:         R-CRAN-sensitivitymv 

%description
Provides tools for integrated sensitivity analysis of evidence factors in
observational studies. When an observational study allows for multiple
independent or nearly independent inferences which, if vulnerable, are
vulnerable to different biases, we have multiple evidence factors.  This
package provides methods that respect type I error rate control. Examples
are provided of integrated evidence factors analysis in a longitudinal
study with continuous outcome and in a case-control study. Karmakar, B.,
French, B., and Small, D. S. (2019)<DOI:10.1093/biomet/asz003>.

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

find -type f -executable -exec grep -Iq . {} \; -exec sed -i -e '$a\' {} \;

%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}