File R-mdendro.spec of Package R-mdendro

# Automatically generated by CRAN2OBS
# 
# Spec file for package mdendro 
# This file is auto-generated using information in the package source, 
# esp. Description and Summary. Improvements in that area should be 
# discussed with upstream. 
# 
# Copyright (c) 2025 SUSE LINUX GmbH, Nuernberg, Germany. 
# 
# All modifications and additions to the file contributed by third parties 
# remain the property of their copyright owners, unless otherwise agreed 
# upon. The license for this file, and modifications and additions to the 
# file, is the same license as for the pristine package itself (unless the 
# license for the pristine package is not an Open Source License, in which 
# case the license is the MIT License). An "Open Source License" is a 
# license that conforms to the Open Source Definition (Version 1.9) 
# published by the Open Source Initiative. 
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# Please submit bugfixes or comments via http://bugs.opensuse.org/ 
# 
 
%global packname  mdendro 
%global rlibdir   %{_libdir}/R/library 
 
Name:           R-%{packname} 
Version:        2.2.3 
Release:        0 
Summary:        Extended Agglomerative Hierarchical Clustering 
Group:          Development/Libraries/Other 
License:        AGPL-3 
URL:            http://cran.r-project.org/web/packages/%{packname} 
Source:         mdendro_2.2.3.tar.gz 
Requires:       R-base 
Requires:	R-Rcpp
 
# %%if 0%%{?sle_version} > 120400 || 0%%{?is_opensuse} 
# # Three others commonly needed 
# BuildRequires:  tex(ae.sty) 
# BuildRequires:  tex(fancyvrb.sty) 
# BuildRequires:  tex(inconsolata.sty) 
# BuildRequires:  tex(natbib.sty) 
# %else 
# BuildRequires:  texlive 
# %endif 
# BuildRequires:  texinfo 
BuildRequires:  fdupes 
BuildRequires:  R-base 
BuildRequires: 	R-Rcpp-devel
BuildRequires:  gcc gcc-c++ gcc-fortran
 
Suggests:	R-ape
Suggests:	R-dendextend
Suggests:	R-knitr
Suggests:	R-rmarkdown
%description 
A comprehensive collection of linkage methods for agglomerative 
hierarchical clustering on a matrix of proximity data (distances or 
similarities), returning a multifurcated dendrogram or multidendrogram. 
Multidendrograms can group more than two clusters when ties in 
proximity data occur, and therefore they do not depend on the order of 
the input data. Descriptive measures to analyze the resulting 
dendrogram are additionally provided. <doi:10.18637/jss.v114.i02>. 
 
%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} 
%{rlibdir}/%{packname}/CITATION
%doc %{rlibdir}/%{packname}/DESCRIPTION
%{rlibdir}/%{packname}/INDEX
%{rlibdir}/%{packname}/Meta
%{rlibdir}/%{packname}/NAMESPACE
%{rlibdir}/%{packname}/R
%{rlibdir}/%{packname}/doc
%doc %{rlibdir}/%{packname}/help
%doc %{rlibdir}/%{packname}/html
%{rlibdir}/%{packname}/libs
 
%changelog