%global __brp_check_rpaths %{nil}
%global __requires_exclude ^libmpi
%global packname  binsreg
%global packver   1.0
%global rlibdir   /usr/local/lib/R/library

Name:             R-CRAN-%{packname}
Version:          1.0
Release:          1%{?dist}%{?buildtag}
Summary:          Binscatter Estimation and Inference

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


BuildRequires:    R-devel >= 3.1
Requires:         R-core >= 3.1
BuildArch:        noarch
BuildRequires:    R-CRAN-ggplot2 
BuildRequires:    R-CRAN-sandwich 
BuildRequires:    R-CRAN-quantreg 
BuildRequires:    R-splines 
BuildRequires:    R-CRAN-matrixStats 
Requires:         R-CRAN-ggplot2 
Requires:         R-CRAN-sandwich 
Requires:         R-CRAN-quantreg 
Requires:         R-splines 
Requires:         R-CRAN-matrixStats 

%description
Provides tools for statistical analysis using the binscatter methods
developed by Cattaneo, Crump, Farrell and Feng (2023a) <arXiv:1902.09608>,
Cattaneo, Crump, Farrell and Feng (2023b)
<https://nppackages.github.io/references/Cattaneo-Crump-Farrell-Feng_2023_NonlinearBinscatter.pdf>
and Cattaneo, Crump, Farrell and Feng (2023c) <arXiv:1902.09615>.
Binscatter provides a flexible way of describing the relationship between
two variables based on partitioning/binning of the independent variable of
interest. binsreg(), binsqreg() and binsglm() implement binscatter least
squares regression, quantile regression and generalized linear regression
respectively, with particular focus on constructing binned scatter plots.
They also implement robust (pointwise and uniform) inference of regression
functions and derivatives thereof. binstest() implements hypothesis
testing procedures for parametric functional forms of and nonparametric
shape restrictions on the regression function. binspwc() implements
hypothesis testing procedures for pairwise group comparison of binscatter
estimators. binsregselect() implements data-driven procedures for
selecting the number of bins for binscatter estimation. All the commands
allow for covariate adjustment, smoothness restrictions and clustering.

%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}