File R-stlplus.spec of Package R-stlplus

# Automatically generated by CRAN2OBS
# 
# Spec file for package stlplus 
# 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. 
#  
# Please submit bugfixes or comments via http://bugs.opensuse.org/ 
# 
 
%global packname  stlplus 
%global rlibdir   %{_libdir}/R/library 
 
Name:           R-%{packname} 
Version:        0.5.1 
Release:        0 
Summary:        Enhanced Seasonal Decomposition of Time Series by Loess 
Group:          Development/Libraries/Other 
License:        BSD_3_clause + file LICENSE 
URL:            http://cran.r-project.org/web/packages/%{packname} 
Source:         stlplus_0.5.1.tar.gz 
Requires:       R-base 
Requires:	R-yaImpute
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-yaImpute
BuildRequires: 	R-Rcpp-devel
BuildRequires:  gcc gcc-c++ gcc-fortran
 
Suggests:	R-testthat
%description 
Decompose a time series into seasonal, trend, and remainder components 
using an implementation of Seasonal Decomposition of Time Series by 
Loess (STL) that provides several enhancements over the STL method in 
the stats package.  These enhancements include handling missing values, 
providing higher order (quadratic) loess smoothing with automated 
parameter choices, frequency component smoothing beyond the seasonal 
and trend components, and some basic plot methods for diagnostics. 
 
%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
%license %{rlibdir}/%{packname}/LICENSE
%{rlibdir}/%{packname}/Meta
%{rlibdir}/%{packname}/NAMESPACE
%{rlibdir}/%{packname}/R
%doc %{rlibdir}/%{packname}/help
%doc %{rlibdir}/%{packname}/html
%{rlibdir}/%{packname}/libs
 
%changelog