File R-mixdir.spec of Package R-mixdir

# Automatically generated by CRAN2OBS
# 
# Spec file for package mixdir 
# 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) 2026 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. 
#  
# Please submit bugfixes or comments via http://bugs.opensuse.org/ 
# 
 
%global packname  mixdir 
%global rlibdir   %{_libdir}/R/library 
 
Name:           R-%{packname} 
Version:        0.3.0 
Release:        0 
Summary:        Cluster High Dimensional Categorical Datasets 
Group:          Development/Libraries/Other 
License:        GPL-3 
URL:            http://cran.r-project.org/web/packages/%{packname} 
Source:         mixdir_0.3.0.tar.gz 
Requires:       R-base 
Requires:	R-extraDistr
Requires:	R-Rcpp
Requires:	R-RcppArmadillo
 
# %%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-extraDistr
BuildRequires: 	R-Rcpp-devel
BuildRequires: 	R-RcppArmadillo-devel
BuildRequires:  gcc gcc-c++ gcc-fortran
 
Suggests:	R-testthat
Suggests:	R-tibble
Suggests:	R-purrr
Suggests:	R-dplyr
Suggests:	R-rmutil
Suggests:	R-pheatmap
Suggests:	R-mcclust
Suggests:	R-ggplot2
Suggests:	R-tidyr
%description 
Scalable Bayesian clustering of categorical datasets. The package 
implements a hierarchical Dirichlet (Process) mixture of multinomial 
distributions. It is thus a probabilistic latent class model (LCM) and 
can be used to reduce the dimensionality of hierarchical data and 
cluster individuals into latent classes. It can automatically infer an 
appropriate number of latent classes or find k classes, as defined by 
the user.  The model is based on a paper by Dunson and Xing (2009) 
<doi:10.1198/jasa.2009.tm08439>, but implements a scalable variational 
inference algorithm so that it is applicable to large datasets. It is 
described and tested in the accompanying paper by Ahlmann-Eltze and Yau 
(2018) <doi:10.1109/DSAA.2018.00068>. 
 
%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
%doc %{rlibdir}/%{packname}/NEWS.md
%{rlibdir}/%{packname}/R
%{rlibdir}/%{packname}/data
%doc %{rlibdir}/%{packname}/help
%doc %{rlibdir}/%{packname}/html
%{rlibdir}/%{packname}/libs
 
%changelog