%global __brp_check_rpaths %{nil}
%global __requires_exclude ^libmpi
%global packname  RCT
%global packver   1.2
%global rlibdir   /usr/local/lib/R/library

Name:             R-CRAN-%{packname}
Version:          1.2
Release:          1%{?dist}%{?buildtag}
Summary:          Assign Treatments, Power Calculations, Balances, Impact Evaluation of Experiments

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-broom >= 1.0.0
BuildRequires:    R-CRAN-tidyselect >= 1.0.0
BuildRequires:    R-CRAN-dplyr 
BuildRequires:    R-CRAN-purrr 
BuildRequires:    R-CRAN-glue 
BuildRequires:    R-CRAN-rlang 
BuildRequires:    R-CRAN-tidyr 
BuildRequires:    R-CRAN-stringr 
BuildRequires:    R-CRAN-MASS 
BuildRequires:    R-CRAN-pracma 
BuildRequires:    R-CRAN-estimatr 
BuildRequires:    R-CRAN-forcats 
BuildRequires:    R-CRAN-magrittr 
BuildRequires:    R-CRAN-ggplot2 
BuildRequires:    R-utils 
Requires:         R-CRAN-broom >= 1.0.0
Requires:         R-CRAN-tidyselect >= 1.0.0
Requires:         R-CRAN-dplyr 
Requires:         R-CRAN-purrr 
Requires:         R-CRAN-glue 
Requires:         R-CRAN-rlang 
Requires:         R-CRAN-tidyr 
Requires:         R-CRAN-stringr 
Requires:         R-CRAN-MASS 
Requires:         R-CRAN-pracma 
Requires:         R-CRAN-estimatr 
Requires:         R-CRAN-forcats 
Requires:         R-CRAN-magrittr 
Requires:         R-CRAN-ggplot2 
Requires:         R-utils 

%description
Assists in the whole process of designing and evaluating Randomized
Control Trials. Robust treatment assignment by strata/blocks, that handles
misfits; Power calculations of the minimum detectable treatment effect or
minimum populations; Balance tables of T-test of covariates; Balance
Regression: (treatment ~ all x variables) with F-test of null model;
Impact_evaluation: Impact evaluation regressions. This function gives you
the option to include control_vars, fixed effect variables, cluster
variables (for robust SE), multiple endogenous variables and multiple
heterogeneous variables (to test treatment effect heterogeneity)
summary_statistics: Function that creates a summary statistics table with
statistics rank observations in n groups: Creates a factor variable with n
groups. Each group has a min and max label attach to each category. Athey,
Susan, and Guido W. Imbens (2017) <arXiv:1607.00698>.

%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}