%global __brp_check_rpaths %{nil}
%global packname  simdistr
%global packver   1.0.1
%global rlibdir   /usr/local/lib/R/library

Name:             R-CRAN-%{packname}
Version:          1.0.1
Release:          3%{?dist}%{?buildtag}
Summary:          Assessment of Data Trial Distributions According to theCarlisle-Stouffer Method

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


BuildRequires:    R-devel >= 2.10
Requires:         R-core >= 2.10
BuildArch:        noarch

%description
Assessment of the distributions of baseline continuous and categorical
variables in randomised trials. This method is based on the
Carlisle-Stouffer method with Monte Carlo simulations. It calculates
p-values for each trial baseline variable, as well as combined p-values
for each trial - these p-values measure how compatible are distributions
of trials baseline variables with random sampling. This package also
allows for graphically plotting the cumulative frequencies of computed
p-values. Please note that code was partly adapted from Carlisle JB,
Loadsman JA. (2017) <doi:10.1111/anae.13650>.

%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}