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File R-specs.spec of Package R-specs
# Automatically generated by CRAN2OBS # # Spec file for package specs # 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) 2024 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 specs %global rlibdir %{_libdir}/R/library Name: R-%{packname} Version: 1.0.1 Release: 0 Summary: Single-Equation Penalized Error-Correction Selector (SPECS) Group: Development/Libraries/Other License: GPL (>= 2) URL: http://cran.r-project.org/web/packages/%{packname} Source: specs_1.0.1.tar.gz Requires: R-base Requires: R-Rcpp Requires: R-RcppArmadillo # %%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-Rcpp-devel BuildRequires: R-RcppArmadillo-devel BuildRequires: gcc gcc-c++ gcc-fortran %description Implementation of SPECS, your favourite Single-Equation Penalized Error-Correction Selector developed in Smeekes and Wijler (2021) <doi:10.1016/j.jeconom.2020.07.021>. SPECS provides a fully automated estimation procedure for large and potentially (co)integrated datasets. The dataset in levels is converted to a conditional error-correction model, either by the user or by means of the functions included in this package, and various specialised forms of penalized regression can be applied to the model. Automated options for initializing and selecting a sequence of penalties, as well as the construction of penalty weights via an initial estimator, are available. Moreover, the user may choose from a number of pre-specified deterministic configurations to further simplify the model building process. %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} %{rlibdir}/%{packname}/CITATION %doc %{rlibdir}/%{packname}/DESCRIPTION %{rlibdir}/%{packname}/INDEX %{rlibdir}/%{packname}/Meta %{rlibdir}/%{packname}/NAMESPACE %{rlibdir}/%{packname}/R %{rlibdir}/%{packname}/README.Rmd %{rlibdir}/%{packname}/data %doc %{rlibdir}/%{packname}/help %doc %{rlibdir}/%{packname}/html %{rlibdir}/%{packname}/libs %changelog
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