File R-HDoutliers.spec of Package R-HDoutliers

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# Spec file for package HDoutliers 
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%global packname  HDoutliers 
%global rlibdir   %{_libdir}/R/library 
 
Name:           R-%{packname} 
Version:        1.0.4 
Release:        0 
Summary:        Leland Wilkinson's Algorithm for Detecting Multidimensional Outliers 
Group:          Development/Libraries/Other 
License:        MIT + file LICENSE 
URL:            http://cran.r-project.org/web/packages/%{packname} 
Source:         HDoutliers_1.0.4.tar.gz 
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%description 
An implementation of an algorithm for outlier detection that can handle 
a) data with a mixed categorical and continuous variables, b) many 
columns of data, c) many rows of data, d) outliers that mask other 
outliers, and e) both unidimensional and multidimensional datasets. 
Unlike ad hoc methods found in many machine learning papers, HDoutliers 
is based on a distributional model that uses probabilities to determine 
outliers. 
 
%prep 
%setup -q -c -n %{packname} 
# the next line is needed, because we build without --clean in between two packages 
rm -rf ~/.R  
 
 
%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 
%fdupes -s %{buildroot}%{rlibdir} 
 
#%%check 
#%%{_bindir}/R CMD check %%{packname} 
 
%files 
%dir %{rlibdir}/%{packname} 
%doc %{rlibdir}/%{packname}/DESCRIPTION
%{rlibdir}/%{packname}/INDEX
%license %{rlibdir}/%{packname}/LICENSE
%{rlibdir}/%{packname}/Meta
%{rlibdir}/%{packname}/NAMESPACE
%{rlibdir}/%{packname}/R
%{rlibdir}/%{packname}/data
%{rlibdir}/%{packname}/doc
%doc %{rlibdir}/%{packname}/help
%doc %{rlibdir}/%{packname}/html
 
%changelog