File R-IBclust.spec of Package R-IBclust

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# Spec file for package IBclust 
# This file is auto-generated using information in the package source, 
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%global packname  IBclust 
%global rlibdir   %{_libdir}/R/library 
 
Name:           R-%{packname} 
Version:        1.2.1 
Release:        0 
Summary:        Information Bottleneck Methods for Clustering Mixed-Type Data 
Group:          Development/Libraries/Other 
License:        GPL (>= 3) 
URL:            http://cran.r-project.org/web/packages/%{packname} 
Source:         IBclust_1.2.1.tar.gz 
Requires:       R-base 
Requires:	R-Rcpp
Requires:	R-np
Requires:	R-rje
Requires:	R-Rdpack
Requires:	R-RcppEigen
Requires:	R-RcppArmadillo
Requires:	R-cubature
Requires:	R-quadprog
Requires:	R-quantreg
Requires:	R-rbibutils
Requires:	R-SparseM
Requires:	R-MatrixModels
 
# %%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: 	R-np
BuildRequires: 	R-rje
BuildRequires: 	R-Rdpack
BuildRequires: 	R-RcppEigen-devel
BuildRequires: 	R-RcppArmadillo-devel
BuildRequires: 	R-cubature
BuildRequires: 	R-quadprog
BuildRequires: 	R-quantreg
BuildRequires: 	R-rbibutils
BuildRequires: 	R-SparseM
BuildRequires: 	R-MatrixModels
BuildRequires:  gcc gcc-c++ gcc-fortran
 
Suggests:	R-mclust
%description 
Implements multiple variants of the Information Bottleneck ('IB') 
method for clustering datasets containing continuous, categorical 
(nominal/ordinal) and mixed-type variables. The package provides 
deterministic, agglomerative, generalized, and standard 'IB' clustering 
algorithms that preserve relevant information while forming 
interpretable clusters. The Deterministic Information Bottleneck is 
described in Costa et al. (2024) <doi:10.48550/arXiv.2407.03389>. The 
standard 'IB' method originates from Tishby et al. (2000) 
<doi:10.48550/arXiv.physics/0004057>, the agglomerative variant from 
Slonim and Tishby (1999) 
<https://papers.nips.cc/paper/1651-agglomerative-information-bottleneck>, 
and the generalized 'IB' from Strouse and Schwab (2017) 
<doi:10.1162/NECO_a_00961>. 
 
%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}/REFERENCES.bib
%doc %{rlibdir}/%{packname}/help
%doc %{rlibdir}/%{packname}/html
%{rlibdir}/%{packname}/libs
 
%changelog 
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