%global __brp_check_rpaths %{nil} %global __requires_exclude ^libmpi %global packname EventStudy %global packver 0.70 %global rlibdir /usr/local/lib/R/library Name: R-CRAN-%{packname} Version: 0.70 Release: 1%{?dist}%{?buildtag} Summary: Event Study Analysis License: AGPL-3 URL: https://cran.r-project.org/package=%{packname} Source0: %{url}&version=%{packver}#/%{packname}_%{packver}.tar.gz BuildRequires: R-devel >= 4.1.0 Requires: R-core >= 4.1.0 BuildArch: noarch BuildRequires: R-CRAN-R6 BuildRequires: R-CRAN-distributional BuildRequires: R-methods BuildRequires: R-CRAN-plotly BuildRequires: R-CRAN-tibble BuildRequires: R-CRAN-ggplot2 BuildRequires: R-CRAN-dplyr BuildRequires: R-CRAN-purrr BuildRequires: R-CRAN-tidyr BuildRequires: R-CRAN-stringr BuildRequires: R-CRAN-rlang BuildRequires: R-stats BuildRequires: R-tools BuildRequires: R-utils Requires: R-CRAN-R6 Requires: R-CRAN-distributional Requires: R-methods Requires: R-CRAN-plotly Requires: R-CRAN-tibble Requires: R-CRAN-ggplot2 Requires: R-CRAN-dplyr Requires: R-CRAN-purrr Requires: R-CRAN-tidyr Requires: R-CRAN-stringr Requires: R-CRAN-rlang Requires: R-stats Requires: R-tools Requires: R-utils %description Financial event study analysis. Implements the classical event study methodology of MacKinlay (1997) with multiple return models: market model, market adjusted, comparison period mean adjusted, Fama and French three-factor (1993) and five-factor (2015) , Carhart (1997) four-factor , generalized autoregressive conditional heteroskedasticity (GARCH; Bollerslev, 1986) , rolling window, and dynamic conditional correlation GARCH (DCC-GARCH; Engle, 2002) . Provides parametric and non-parametric test statistics, including the standardized cross-sectional test of Boehmer, Musumeci and Poulsen (1991) and its cross-correlation adjustment by Kolari and Pynnonen (2010) ; buy-and-hold abnormal returns (Barber and Lyon, 1997) ; volume and volatility event studies; cross-sectional regression; intraday event studies; panel difference-in-differences event studies with the estimators of Callaway and Sant'Anna (2021) , de Chaisemartin and D'Haultfoeuille (2020) , and Borusyak, Jaravel and Spiess (2024) ; synthetic control methods (Abadie, Diamond and Hainmueller, 2010) ; wild bootstrap inference; multiple testing corrections; power analysis via simulation; data download helpers; automated reporting; and visualization tools. Results can be exported to comma-separated values (CSV), 'Excel', or 'LaTeX'. %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}