%global __brp_check_rpaths %{nil}
%global packname  pmhtutorial
%global packver   1.5
%global rlibdir   /usr/local/lib/R/library

Name:             R-CRAN-%{packname}
Version:          1.5
Release:          3%{?dist}%{?buildtag}
Summary:          Minimal Working Examples for Particle Metropolis-Hastings

License:          GPL-2
URL:              https://cran.r-project.org/package=%{packname}
Source0:          %{url}&version=%{packver}#/%{packname}_%{packver}.tar.gz


BuildRequires:    R-devel >= 3.2.3
Requires:         R-core >= 3.2.3
BuildArch:        noarch
BuildRequires:    R-CRAN-mvtnorm 
BuildRequires:    R-CRAN-Quandl 
BuildRequires:    R-grDevices 
BuildRequires:    R-graphics 
BuildRequires:    R-stats 
Requires:         R-CRAN-mvtnorm 
Requires:         R-CRAN-Quandl 
Requires:         R-grDevices 
Requires:         R-graphics 
Requires:         R-stats 

%description
Routines for state estimate in a linear Gaussian state space model and a
simple stochastic volatility model using particle filtering. Parameter
inference is also carried out in these models using the particle
Metropolis-Hastings algorithm that includes the particle filter to
provided an unbiased estimator of the likelihood. This package is a
collection of minimal working examples of these algorithms and is only
meant for educational use and as a start for learning to them on your own.

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


%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}