File R-tsintermittent.spec of Package R-tsintermittent

# Automatically generated by CRAN2OBS
# 
# Spec file for package tsintermittent 
# 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  tsintermittent 
%global rlibdir   %{_libdir}/R/library 
 
Name:           R-%{packname} 
Version:        1.10 
Release:        0 
Summary:        Intermittent Time Series Forecasting 
Group:          Development/Libraries/Other 
License:        GPL (>= 2) 
URL:            http://cran.r-project.org/web/packages/%{packname} 
Source:         tsintermittent_1.10.tar.gz 
Requires:       R-base 
Requires:	R-MAPA
Requires:	R-forecast
Requires:	R-RColorBrewer
Requires:	R-smooth
Requires:	R-colorspace
Requires:	R-fracdiff
Requires:	R-generics
Requires:	R-ggplot2
Requires:	R-lmtest
Requires:	R-magrittr
Requires:	R-Rcpp
Requires:	R-timeDate
Requires:	R-tseries
Requires:	R-urca
Requires:	R-withr
Requires:	R-zoo
Requires:	R-RcppArmadillo
Requires:	R-greybox
Requires:	R-pracma
Requires:	R-statmod
Requires:	R-nloptr
Requires:	R-xtable
Requires:	R-cli
Requires:	R-glue
Requires:	R-gtable
Requires:	R-isoband
Requires:	R-lifecycle
Requires:	R-rlang
Requires:	R-scales
Requires:	R-tibble
Requires:	R-vctrs
Requires:	R-texreg
Requires:	R-quadprog
Requires:	R-quantmod
Requires:	R-jsonlite
Requires:	R-xts
Requires:	R-TTR
Requires:	R-curl
Requires:	R-farver
Requires:	R-labeling
Requires:	R-R6
Requires:	R-viridisLite
Requires:	R-httr
Requires:	R-pillar
Requires:	R-pkgconfig
Requires:	R-mime
Requires:	R-openssl
Requires:	R-utf8
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-MAPA
BuildRequires: 	R-forecast
BuildRequires: 	R-RColorBrewer
BuildRequires: 	R-smooth
BuildRequires: 	R-colorspace
BuildRequires: 	R-fracdiff
BuildRequires: 	R-generics
BuildRequires: 	R-ggplot2
BuildRequires: 	R-lmtest
BuildRequires: 	R-magrittr
BuildRequires: 	R-Rcpp-devel
BuildRequires: 	R-timeDate
BuildRequires: 	R-tseries
BuildRequires: 	R-urca
BuildRequires: 	R-withr
BuildRequires: 	R-zoo
BuildRequires: 	R-RcppArmadillo-devel
BuildRequires: 	R-greybox
BuildRequires: 	R-pracma
BuildRequires: 	R-statmod
BuildRequires: 	R-nloptr
BuildRequires: 	R-xtable
BuildRequires: 	R-cli
BuildRequires: 	R-glue
BuildRequires: 	R-gtable
BuildRequires: 	R-isoband
BuildRequires: 	R-lifecycle
BuildRequires: 	R-rlang
BuildRequires: 	R-scales
BuildRequires: 	R-tibble
BuildRequires: 	R-vctrs
BuildRequires: 	R-texreg
BuildRequires: 	R-quadprog
BuildRequires: 	R-quantmod
BuildRequires: 	R-jsonlite
BuildRequires: 	R-xts
BuildRequires: 	R-TTR
BuildRequires: 	R-curl
BuildRequires: 	R-farver
BuildRequires: 	R-labeling
BuildRequires: 	R-R6
BuildRequires: 	R-viridisLite
BuildRequires: 	R-httr
BuildRequires: 	R-pillar
BuildRequires: 	R-pkgconfig
BuildRequires: 	R-mime
BuildRequires: 	R-openssl
BuildRequires: 	R-utf8
BuildRequires: 	R-askpass
BuildRequires: 	R-sys
 
%description 
Time series methods for intermittent demand forecasting. Includes 
Croston's method and its variants (Moving Average, SBA), and the TSB 
method. Users can obtain optimal parameters on a variety of loss 
functions, or use fixed ones (Kourenztes (2014) 
<doi:10.1016/j.ijpe.2014.06.007>). Intermittent time series 
classification methods and iMAPA that uses multiple temporal 
aggregation levels are also provided (Petropoulos & Kourenztes (2015) 
<doi:10.1057/jors.2014.62>). 
 
%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
%doc %{rlibdir}/%{packname}/help
%doc %{rlibdir}/%{packname}/html
 
%changelog 
openSUSE Build Service is sponsored by