%global __brp_check_rpaths %{nil}
%global packname  TaxicabCA
%global packver   0.1.1
%global rlibdir   /usr/local/lib/R/library

Name:             R-CRAN-%{packname}
Version:          0.1.1
Release:          3%{?dist}%{?buildtag}
Summary:          Taxicab Correspondence Analysis

License:          GPL (>= 2)
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-grDevices 
BuildRequires:    R-graphics 
BuildRequires:    R-stats 
BuildRequires:    R-utils 
Requires:         R-grDevices 
Requires:         R-graphics 
Requires:         R-stats 
Requires:         R-utils 

%description
Computation and visualization of Taxicab Correspondence Analysis,
Choulakian (2006) <doi:10.1007/s11336-004-1231-4>.  Classical
correspondence analysis (CA) is a statistical method to analyse
2-dimensional tables of positive numbers and is typically applied to
contingency tables (Benzecri, J.-P. (1973). L'Analyse des Donnees. Volume
II. L'Analyse des Correspondances. Paris, France: Dunod).  Classical CA is
based on the Euclidean distance.  Taxicab CA is like classical CA but is
based on the Taxicab or Manhattan distance.  For some tables, Taxicab CA
gives more informative results than classical CA.

%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}