%global __brp_check_rpaths %{nil}
%global __requires_exclude ^libmpi
%global packname  PanelMatch
%global packver   2.2.0
%global rlibdir   /usr/local/lib/R/library

Name:             R-CRAN-%{packname}
Version:          2.2.0
Release:          1%{?dist}%{?buildtag}
Summary:          Matching Methods for Causal Inference with Time-Series Cross-Sectional Data

License:          GPL (>= 3)
URL:              https://cran.r-project.org/package=%{packname}
Source0:          %{url}&version=%{packver}#/%{packname}_%{packver}.tar.gz


BuildRequires:    R-devel >= 2.14.0
Requires:         R-core >= 2.14.0
BuildRequires:    R-CRAN-Rcpp >= 0.12.5
BuildRequires:    R-CRAN-data.table 
BuildRequires:    R-CRAN-ggplot2 
BuildRequires:    R-CRAN-CBPS 
BuildRequires:    R-stats 
BuildRequires:    R-graphics 
BuildRequires:    R-CRAN-MASS 
BuildRequires:    R-CRAN-Matrix 
BuildRequires:    R-CRAN-doParallel 
BuildRequires:    R-CRAN-foreach 
BuildRequires:    R-methods 
BuildRequires:    R-CRAN-RcppArmadillo 
BuildRequires:    R-CRAN-RcppEigen 
Requires:         R-CRAN-Rcpp >= 0.12.5
Requires:         R-CRAN-data.table 
Requires:         R-CRAN-ggplot2 
Requires:         R-CRAN-CBPS 
Requires:         R-stats 
Requires:         R-graphics 
Requires:         R-CRAN-MASS 
Requires:         R-CRAN-Matrix 
Requires:         R-CRAN-doParallel 
Requires:         R-CRAN-foreach 
Requires:         R-methods 

%description
Implements a set of methodological tools that enable researchers to apply
matching methods to time-series cross-sectional data. Imai, Kim, and Wang
(2023) <http://web.mit.edu/insong/www/pdf/tscs.pdf> proposes a
nonparametric generalization of the difference-in-differences estimator,
which does not rely on the linearity assumption as often done in practice.
Researchers first select a method of matching each treated observation for
a given unit in a particular time period with control observations from
other units in the same time period that have a similar treatment and
covariate history. These methods include standard matching methods based
on propensity score and Mahalanobis distance, as well as weighting
methods. Once matching and refinement is done, treatment effects can be
estimated with standard errors. The package also offers diagnostics for
researchers to assess the quality of their results.

%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}