File R-WaveletSVR.spec of Package R-WaveletSVR

# Automatically generated by CRAN2OBS
# 
# Spec file for package WaveletSVR 
# 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  WaveletSVR 
%global rlibdir   %{_libdir}/R/library 
 
Name:           R-%{packname} 
Version:        0.1.0 
Release:        0 
Summary:        Wavelet-SVR Hybrid Model for Time Series Forecasting 
Group:          Development/Libraries/Other 
License:        GPL-3 
URL:            http://cran.r-project.org/web/packages/%{packname} 
Source:         WaveletSVR_0.1.0.tar.gz 
Requires:       R-base 
Requires:	R-wavelets
Requires:	R-fracdiff
Requires:	R-forecast
Requires:	R-e1071
Requires:	R-tsutils
Requires:	R-proxy
Requires:	R-colorspace
Requires:	R-generics
Requires:	R-ggplot2
Requires:	R-lmtest
Requires:	R-magrittr
Requires:	R-Rcpp
Requires:	R-timeDate
Requires:	R-urca
Requires:	R-withr
Requires:	R-zoo
Requires:	R-RcppArmadillo
Requires:	R-RColorBrewer
Requires:	R-MAPA
Requires:	R-plotrix
Requires:	R-cli
Requires:	R-gtable
Requires:	R-isoband
Requires:	R-lifecycle
Requires:	R-rlang
Requires:	R-S7
Requires:	R-scales
Requires:	R-vctrs
Requires:	R-smooth
Requires:	R-glue
Requires:	R-cpp11
Requires:	R-farver
Requires:	R-labeling
Requires:	R-R6
Requires:	R-viridisLite
Requires:	R-greybox
Requires:	R-pracma
Requires:	R-statmod
Requires:	R-nloptr
Requires:	R-xtable
Requires:	R-texreg
Requires:	R-httr
Requires:	R-curl
Requires:	R-jsonlite
Requires:	R-mime
Requires:	R-openssl
Requires:	R-askpass
Requires:	R-sys
 
# %%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-wavelets
BuildRequires: 	R-fracdiff
BuildRequires: 	R-forecast
BuildRequires: 	R-e1071
BuildRequires: 	R-tsutils
BuildRequires: 	R-proxy
BuildRequires: 	R-colorspace
BuildRequires: 	R-generics
BuildRequires: 	R-ggplot2
BuildRequires: 	R-lmtest
BuildRequires: 	R-magrittr
BuildRequires: 	R-Rcpp-devel
BuildRequires: 	R-timeDate
BuildRequires: 	R-urca
BuildRequires: 	R-withr
BuildRequires: 	R-zoo
BuildRequires: 	R-RcppArmadillo-devel
BuildRequires: 	R-RColorBrewer
BuildRequires: 	R-MAPA
BuildRequires: 	R-plotrix
BuildRequires: 	R-cli
BuildRequires: 	R-gtable
BuildRequires: 	R-isoband
BuildRequires: 	R-lifecycle
BuildRequires: 	R-rlang
BuildRequires: 	R-S7
BuildRequires: 	R-scales
BuildRequires: 	R-vctrs
BuildRequires: 	R-smooth
BuildRequires: 	R-glue
BuildRequires: 	R-cpp11-devel
BuildRequires: 	R-farver
BuildRequires: 	R-labeling
BuildRequires: 	R-R6
BuildRequires: 	R-viridisLite
BuildRequires: 	R-greybox
BuildRequires: 	R-pracma
BuildRequires: 	R-statmod
BuildRequires: 	R-nloptr
BuildRequires: 	R-xtable
BuildRequires: 	R-texreg
BuildRequires: 	R-httr
BuildRequires: 	R-curl
BuildRequires: 	R-jsonlite
BuildRequires: 	R-mime
BuildRequires: 	R-openssl
BuildRequires: 	R-askpass
BuildRequires: 	R-sys
 
%description 
The main aim of this package is to combine the advantage of wavelet and 
support vector machine models for time series forecasting. This package 
also gives the accuracy measurements in terms of RMSE and MAPE. This 
package fits the hybrid Wavelet SVR model for time series forecasting 
The main aim of this package is to combine the advantage of wavelet and 
Support Vector Regression (SVR) models for time series forecasting. 
This package also gives the accuracy measurements in terms of Root Mean 
Square Error (RMSE) and Mean Absolute Prediction Error (MAPE). This 
package is based on the algorithm of Raimundo and Okamoto (2018) <DOI: 
10.1109/INFOCT.2018.8356851>. 
 
%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
%doc %{rlibdir}/%{packname}/help
%doc %{rlibdir}/%{packname}/html
 
%changelog