File R-arima2.spec of Package R-arima2

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# Spec file for package arima2 
# This file is auto-generated using information in the package source, 
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%global packname  arima2 
%global rlibdir   %{_libdir}/R/library 
 
Name:           R-%{packname} 
Version:        3.3.0 
Release:        0 
Summary:        Likelihood Based Inference for ARIMA Modeling 
Group:          Development/Libraries/Other 
License:        GPL (>= 3) 
URL:            http://cran.r-project.org/web/packages/%{packname} 
Source:         arima2_3.3.0.tar.gz 
Requires:       R-base 
Requires:	R-ggplot2
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-withr
Requires:	R-farver
Requires:	R-labeling
Requires:	R-R6
Requires:	R-RColorBrewer
Requires:	R-viridisLite
Requires:	R-magrittr
Requires:	R-pillar
Requires:	R-pkgconfig
Requires:	R-utf8
 
# %%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-ggplot2
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-withr
BuildRequires: 	R-farver
BuildRequires: 	R-labeling
BuildRequires: 	R-R6
BuildRequires: 	R-RColorBrewer
BuildRequires: 	R-viridisLite
BuildRequires: 	R-magrittr
BuildRequires: 	R-pillar
BuildRequires: 	R-pkgconfig
BuildRequires: 	R-utf8
BuildRequires:  gcc gcc-c++ gcc-fortran
 
Suggests:	R-testthat
%description 
Estimating and analyzing auto regressive integrated moving average 
(ARIMA) models. The primary function in this package is arima(), which 
fits an ARIMA model to univariate time series data using a random 
restart algorithm. This approach frequently leads to models that have 
model likelihood greater than or equal to that of the likelihood 
obtained by fitting the same model using the arima() function from the 
'stats' package. This package enables proper optimization of model 
likelihoods, which is a necessary condition for performing likelihood 
ratio tests. This package relies heavily on the source code of the 
arima() function of the 'stats' package. For more information, please 
see Jesse Wheeler and Edward L. Ionides (2023) 
<doi:10.48550/arXiv.2310.01198>. 
 
%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
%{rlibdir}/%{packname}/data
%doc %{rlibdir}/%{packname}/help
%doc %{rlibdir}/%{packname}/html
%{rlibdir}/%{packname}/libs
 
%changelog 
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