%global __brp_check_rpaths %{nil}
%global packname  hpiR
%global packver   0.3.2
%global rlibdir   /usr/local/lib/R/library

Name:             R-CRAN-%{packname}
Version:          0.3.2
Release:          3%{?dist}%{?buildtag}
Summary:          House Price Indexes

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-imputeTS >= 3.0
BuildRequires:    R-CRAN-dplyr 
BuildRequires:    R-CRAN-magrittr 
BuildRequires:    R-CRAN-lubridate 
BuildRequires:    R-CRAN-robustbase 
BuildRequires:    R-CRAN-ggplot2 
BuildRequires:    R-CRAN-purrr 
BuildRequires:    R-CRAN-forecast 
BuildRequires:    R-CRAN-gridExtra 
BuildRequires:    R-MASS 
BuildRequires:    R-CRAN-rlang 
BuildRequires:    R-CRAN-plyr 
BuildRequires:    R-CRAN-zoo 
BuildRequires:    R-CRAN-ranger 
BuildRequires:    R-CRAN-pdp 
Requires:         R-CRAN-imputeTS >= 3.0
Requires:         R-CRAN-dplyr 
Requires:         R-CRAN-magrittr 
Requires:         R-CRAN-lubridate 
Requires:         R-CRAN-robustbase 
Requires:         R-CRAN-ggplot2 
Requires:         R-CRAN-purrr 
Requires:         R-CRAN-forecast 
Requires:         R-CRAN-gridExtra 
Requires:         R-MASS 
Requires:         R-CRAN-rlang 
Requires:         R-CRAN-plyr 
Requires:         R-CRAN-zoo 
Requires:         R-CRAN-ranger 
Requires:         R-CRAN-pdp 

%description
Compute house price indexes and series using a variety of different
methods and models common through the real estate literature.  Evaluate
index 'goodness' based on accuracy, volatility and revision statistics.
Background on basic model construction for repeat sales models can be
found at: Case and Quigley (1991)
<https://ideas.repec.org/a/tpr/restat/v73y1991i1p50-58.html> and for
hedonic pricing models at: Bourassa et al (2006)
<doi:10.1016/j.jhe.2006.03.001>. The package author's working paper on the
random forest approach to house price indexes can be found at:
<http://www.github.com/andykrause/hpi_research>.

%prep
%setup -q -c -n %{packname}

find -type f -executable -exec grep -Iq . {} \; -exec sed -i -e '$a\' {} \;

%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

%files
%{rlibdir}/%{packname}