File R-fasterElasticNet.spec of Package R-fasterElasticNet

# Automatically generated by CRAN2OBS
# 
# Spec file for package fasterElasticNet 
# 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. 
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# Please submit bugfixes or comments via http://bugs.opensuse.org/ 
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%global packname  fasterElasticNet 
%global rlibdir   %{_libdir}/R/library 
 
Name:           R-%{packname} 
Version:        1.1.2 
Release:        0 
Summary:        An Amazing Fast Way to Fit Elastic Net 
Group:          Development/Libraries/Other 
License:        GPL (>= 2) 
URL:            http://cran.r-project.org/web/packages/%{packname} 
Source:         fasterElasticNet_1.1.2.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
 
Suggests:	R-knitr
Suggests:	R-rmarkdown
%description 
Fit Elastic Net, Lasso, and Ridge regression and do cross-validation in 
a fast way. We build the algorithm based on Least Angle Regression by 
Bradley Efron, Trevor Hastie, Iain Johnstone, etc. 
(2004)(<doi:10.1214/009053604000000067 >) and some algorithms like 
Givens rotation and Forward/Back Substitution. In this way, many 
matrices to be computed are retained as triangular matrices which can 
eventually speed up the computation. The fitting algorithm for Elastic 
Net is written in C++ using Armadillo linear algebra library. 
 
%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
%{rlibdir}/%{packname}/libs
 
%changelog