File R-NPBayesImputeCat.spec of Package R-NPBayesImputeCat

# Automatically generated by CRAN2OBS
# 
# Spec file for package NPBayesImputeCat 
# 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  NPBayesImputeCat 
%global rlibdir   %{_libdir}/R/library 
 
Name:           R-%{packname} 
Version:        0.6 
Release:        0 
Summary:        Non-Parametric Bayesian Multiple Imputation for Categorical Data 
Group:          Development/Libraries/Other 
License:        GPL (>= 3) 
URL:            http://cran.r-project.org/web/packages/%{packname} 
Source:         NPBayesImputeCat_0.6.tar.gz 
Requires:       R-base 
Requires:	R-Rcpp
Requires:	R-rlang
Requires:	R-reshape2
Requires:	R-ggplot2
Requires:	R-dplyr
Requires:	R-bayesplot
Requires:	R-coda
Requires:	R-ggridges
Requires:	R-glue
Requires:	R-posterior
Requires:	R-tibble
Requires:	R-tidyr
Requires:	R-tidyselect
Requires:	R-cli
Requires:	R-generics
Requires:	R-lifecycle
Requires:	R-magrittr
Requires:	R-pillar
Requires:	R-R6
Requires:	R-vctrs
Requires:	R-gtable
Requires:	R-isoband
Requires:	R-S7
Requires:	R-scales
Requires:	R-withr
Requires:	R-plyr
Requires:	R-stringr
Requires:	R-cpp11
Requires:	R-utf8
Requires:	R-abind
Requires:	R-checkmate
Requires:	R-tensorA
Requires:	R-distributional
Requires:	R-matrixStats
Requires:	R-farver
Requires:	R-labeling
Requires:	R-RColorBrewer
Requires:	R-viridisLite
Requires:	R-stringi
Requires:	R-pkgconfig
Requires:	R-purrr
Requires:	R-backports
Requires:	R-numDeriv
 
# %%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-rlang
BuildRequires: 	R-reshape2
BuildRequires: 	R-ggplot2
BuildRequires: 	R-dplyr
BuildRequires: 	R-bayesplot
BuildRequires: 	R-coda
BuildRequires: 	R-ggridges
BuildRequires: 	R-glue
BuildRequires: 	R-posterior
BuildRequires: 	R-tibble
BuildRequires: 	R-tidyr
BuildRequires: 	R-tidyselect
BuildRequires: 	R-cli
BuildRequires: 	R-generics
BuildRequires: 	R-lifecycle
BuildRequires: 	R-magrittr
BuildRequires: 	R-pillar
BuildRequires: 	R-R6
BuildRequires: 	R-vctrs
BuildRequires: 	R-gtable
BuildRequires: 	R-isoband
BuildRequires: 	R-S7
BuildRequires: 	R-scales
BuildRequires: 	R-withr
BuildRequires: 	R-plyr
BuildRequires: 	R-stringr
BuildRequires: 	R-cpp11-devel
BuildRequires: 	R-utf8
BuildRequires: 	R-abind
BuildRequires: 	R-checkmate
BuildRequires: 	R-tensorA
BuildRequires: 	R-distributional
BuildRequires: 	R-matrixStats
BuildRequires: 	R-farver
BuildRequires: 	R-labeling
BuildRequires: 	R-RColorBrewer
BuildRequires: 	R-viridisLite
BuildRequires: 	R-stringi
BuildRequires: 	R-pkgconfig
BuildRequires: 	R-purrr
BuildRequires: 	R-backports
BuildRequires: 	R-numDeriv
BuildRequires:  gcc gcc-c++ gcc-fortran
 
%description 
These routines create multiple imputations of missing at random 
categorical data, and create multiply imputed synthesis of categorical 
data, with or without structural zeros. Imputations and syntheses are 
based on Dirichlet process mixtures of multinomial distributions, which 
is a non-parametric Bayesian modeling approach that allows for flexible 
joint modeling, described in Manrique-Vallier and Reiter (2014) 
<doi:10.1080/10618600.2013.844700>. 
 
%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
%{rlibdir}/%{packname}/Meta
%{rlibdir}/%{packname}/NAMESPACE
%{rlibdir}/%{packname}/R
%{rlibdir}/%{packname}/data
%{rlibdir}/%{packname}/demo
%{rlibdir}/%{packname}/doc
%doc %{rlibdir}/%{packname}/help
%doc %{rlibdir}/%{packname}/html
%{rlibdir}/%{packname}/libs
 
%changelog