%global __brp_check_rpaths %{nil}
%global __requires_exclude ^libmpi
%global packname  quantilogram
%global packver   3.1.1
%global rlibdir   /usr/local/lib/R/library

Name:             R-CRAN-%{packname}
Version:          3.1.1
Release:          1%{?dist}%{?buildtag}
Summary:          Cross-Quantilogram

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


BuildRequires:    R-devel >= 3.5.0
Requires:         R-core >= 3.5.0
BuildArch:        noarch
BuildRequires:    R-CRAN-ggplot2 
BuildRequires:    R-CRAN-np 
BuildRequires:    R-CRAN-quantreg 
BuildRequires:    R-CRAN-rlang 
BuildRequires:    R-CRAN-scales 
BuildRequires:    R-stats 
Requires:         R-CRAN-ggplot2 
Requires:         R-CRAN-np 
Requires:         R-CRAN-quantreg 
Requires:         R-CRAN-rlang 
Requires:         R-CRAN-scales 
Requires:         R-stats 

%description
Estimation and inference methods for the cross-quantilogram. The
cross-quantilogram is a measure of nonlinear dependence between two
variables, based on either unconditional or conditional quantile
functions.  It can be considered an extension of the correlogram, which is
a correlation function over multiple lag periods that mainly focuses on
linear dependency.  One can use the cross-quantilogram to detect the
presence of directional predictability from one time series to another.
This package provides a statistical inference method based on the
stationary bootstrap.  For detailed theoretical and empirical
explanations, see Linton and Whang (2007) for univariate time series
analysis and Han, Linton, Oka and Whang (2016) for multivariate time
series analysis.  The full references for these key publications are as
follows: (1) Linton, O., and Whang, Y. J. (2007). The quantilogram: with
an application to evaluating directional predictability.  Journal of
Econometrics, 141(1), 250-282 <doi:10.1016/j.jeconom.2007.01.004>; (2)
Han, H., Linton, O., Oka, T., and Whang, Y. J. (2016).  The
cross-quantilogram: measuring quantile dependence and testing directional
predictability between time series. Journal of Econometrics, 193(1),
251-270 <doi:10.1016/j.jeconom.2016.03.001>.

%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}