%global __brp_check_rpaths %{nil}
%global packname  Ultimixt
%global packver   2.1
%global rlibdir   /usr/local/lib/R/library

Name:             R-CRAN-%{packname}
Version:          2.1
Release:          3%{?dist}%{?buildtag}
Summary:          Bayesian Analysis of Location-Scale Mixture Models using aWeakly Informative Prior

License:          GPL (>= 2.0)
URL:              https://cran.r-project.org/package=%{packname}
Source0:          %{url}&version=%{packver}#/%{packname}_%{packver}.tar.gz


BuildRequires:    R-devel
Requires:         R-core
BuildArch:        noarch
BuildRequires:    R-CRAN-coda 
BuildRequires:    R-CRAN-gtools 
BuildRequires:    R-graphics 
BuildRequires:    R-grDevices 
BuildRequires:    R-stats 
Requires:         R-CRAN-coda 
Requires:         R-CRAN-gtools 
Requires:         R-graphics 
Requires:         R-grDevices 
Requires:         R-stats 

%description
A generic reference Bayesian analysis of unidimensional mixture
distributions obtained by a location-scale parameterisation of the model
is implemented. The including functions simulate and summarize posterior
samples for location-scale mixture models using a weakly informative
prior. There is no need to define priors for scale-location parameters
except two hyperparameters in which are associated with a Dirichlet prior
for weights and a simplex.

%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}