File R-ppsr.spec of Package R-ppsr

# Automatically generated by CRAN2OBS
# 
# Spec file for package ppsr 
# 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) 2021 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  ppsr 
%global rlibdir   %{_libdir}/R/library 
 
Name:           R-%{packname} 
Version:        0.0.2 
Release:        0 
Summary:        Predictive Power Score 
Group:          Development/Libraries/Other 
License:        GPL (>= 3) 
URL:            http://cran.r-project.org/web/packages/%{packname} 
Source:         ppsr_0.0.2.tar.gz 
Requires:       R-base 
Requires:	R-ggplot2
Requires:	R-parsnip
Requires:	R-withr
Requires:	R-gridExtra
Requires:	R-digest
Requires:	R-glue
Requires:	R-gtable
Requires:	R-isoband
Requires:	R-rlang
Requires:	R-scales
Requires:	R-tibble
Requires:	R-dplyr
Requires:	R-purrr
Requires:	R-generics
Requires:	R-magrittr
Requires:	R-tidyr
Requires:	R-globals
Requires:	R-prettyunits
Requires:	R-vctrs
Requires:	R-ellipsis
Requires:	R-lifecycle
Requires:	R-R6
Requires:	R-tidyselect
Requires:	R-farver
Requires:	R-labeling
Requires:	R-munsell
Requires:	R-RColorBrewer
Requires:	R-viridisLite
Requires:	R-fansi
Requires:	R-pillar
Requires:	R-pkgconfig
Requires:	R-cpp11
Requires:	R-colorspace
Requires:	R-cli
Requires:	R-crayon
Requires:	R-utf8
 
# %%if 0%%{?sle_version} > 120400 || 0%%{?is_opensuse} 
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# %endif 
# BuildRequires:  texinfo 
BuildRequires:  fdupes 
BuildRequires:  R-base 
BuildRequires: 	R-ggplot2
BuildRequires: 	R-parsnip
BuildRequires: 	R-withr
BuildRequires: 	R-gridExtra
BuildRequires: 	R-digest
BuildRequires: 	R-glue
BuildRequires: 	R-gtable
BuildRequires: 	R-isoband
BuildRequires: 	R-rlang
BuildRequires: 	R-scales
BuildRequires: 	R-tibble
BuildRequires: 	R-dplyr
BuildRequires: 	R-purrr
BuildRequires: 	R-generics
BuildRequires: 	R-magrittr
BuildRequires: 	R-tidyr
BuildRequires: 	R-globals
BuildRequires: 	R-prettyunits
BuildRequires: 	R-vctrs
BuildRequires: 	R-ellipsis
BuildRequires: 	R-lifecycle
BuildRequires: 	R-R6
BuildRequires: 	R-tidyselect
BuildRequires: 	R-farver
BuildRequires: 	R-labeling
BuildRequires: 	R-munsell
BuildRequires: 	R-RColorBrewer
BuildRequires: 	R-viridisLite
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Suggests:	R-testthat
%description 
The PPS is an asymmetric, data-type-agnostic score that can detect 
linear or non-linear relationships between two columns. The score 
ranges from 0 (no predictive power) to 1 (perfect predictive power). It 
can be useful for data exploration purposes, in the same way 
correlation analysis is. For more information on PPS, see Wetschoreck 
(2020) 
<https://towardsdatascience.com/rip-correlation-introducing-the-predictive-power-score-3d90808b9598> 
or github <https://github.com/paulvanderlaken/ppsr>. 
 
%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
%doc %{rlibdir}/%{packname}/NEWS.md
%{rlibdir}/%{packname}/R
%doc %{rlibdir}/%{packname}/help
%doc %{rlibdir}/%{packname}/html
 
%changelog
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