%global __brp_check_rpaths %{nil}
%global __requires_exclude ^libmpi
%global packname  PRSim
%global packver   1.5
%global rlibdir   /usr/local/lib/R/library

Name:             R-CRAN-%{packname}
Version:          1.5
Release:          1%{?dist}%{?buildtag}
Summary:          Stochastic Simulation of Streamflow Time Series using Phase Randomization

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
BuildRequires:    R-stats 
BuildRequires:    R-methods 
BuildRequires:    R-CRAN-lmomco 
BuildRequires:    R-CRAN-mev 
BuildRequires:    R-CRAN-goftest 
BuildRequires:    R-CRAN-wavScalogram 
BuildRequires:    R-CRAN-splus2R 
Requires:         R-stats 
Requires:         R-methods 
Requires:         R-CRAN-lmomco 
Requires:         R-CRAN-mev 
Requires:         R-CRAN-goftest 
Requires:         R-CRAN-wavScalogram 
Requires:         R-CRAN-splus2R 

%description
Provides a simulation framework to simulate streamflow time series with
similar main characteristics as observed data. These characteristics
include the distribution of daily streamflow values and their temporal
correlation as expressed by short- and long-range dependence. The approach
is based on the randomization of the phases of the Fourier transform or
the phases of the wavelet transform. The function prsim() is applicable to
single site simulation and uses the Fourier transform. The function
prsim.wave() extends the approach to multiple sites and is based on the
complex wavelet transform. The function prsim.weather() extends the
approach to multiple variables for weather generation. We further use the
flexible four-parameter Kappa distribution, which allows for the
extrapolation to yet unobserved low and high flows. Alternatively, the
empirical or any other distribution can be used. A detailed description of
the simulation approach for single sites and an application example can be
found in Brunner et al. (2019) <doi:10.5194/hess-23-3175-2019>. A detailed
description and evaluation of the wavelet-based multi-site approach can be
found in Brunner and Gilleland (2020) <doi:10.5194/hess-24-3967-2020>. A
detailed description and evaluation of the multi-variable and multi-site
weather generator can be found in Brunner et al. (2021)
<doi:10.5194/esd-12-621-2021>. A detailed description and evaluation of
the non-stationary streamflow generator can be found in Brunner and
Gilleland (2024) <doi:10.1029/2023EF004238>.

%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}