File R-MADMMplasso.spec of Package R-MADMMplasso

# Automatically generated by CRAN2OBS
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# Spec file for package MADMMplasso 
# This file is auto-generated using information in the package source, 
# esp. Description and Summary. Improvements in that area should be 
# discussed with upstream. 
# 
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# remain the property of their copyright owners, unless otherwise agreed 
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%global packname  MADMMplasso 
%global rlibdir   %{_libdir}/R/library 
 
Name:           R-%{packname} 
Version:        1.0.1 
Release:        0 
Summary:        Multi Variate Multi Response ADMM with Interaction Effects 
Group:          Development/Libraries/Other 
License:        GPL-3 
URL:            http://cran.r-project.org/web/packages/%{packname} 
Source:         MADMMplasso_1.0.1.tar.gz 
Requires:       R-base 
Requires:	R-Rcpp
Requires:	R-RcppArmadillo
Requires:	R-foreach
Requires:	R-doParallel
Requires:	R-spatstat.sparse
Requires:	R-iterators
Requires:	R-abind
Requires:	R-tensor
Requires:	R-spatstat.utils
 
# %%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: 	R-foreach
BuildRequires: 	R-doParallel
BuildRequires: 	R-spatstat.sparse
BuildRequires: 	R-iterators
BuildRequires: 	R-abind
BuildRequires: 	R-tensor
BuildRequires: 	R-spatstat.utils
BuildRequires:  gcc gcc-c++ gcc-fortran
 
Suggests:	R-testthat
Suggests:	R-lintr
%description 
This system allows one to model a multi-variate, multi-response problem 
with interaction effects. It combines the usual squared error loss for 
the multi-response problem with some penalty terms to encourage 
responses that correlate to form groups and also allow for modeling 
main and interaction effects that exit within the covariates. The 
optimization method employed is the Alternating Direction Method of 
Multipliers (ADMM). The implementation is based on the methodology 
presented on Quachie Asenso, T., & Zucknick, M. (2023) 
<doi:10.48550/arXiv.2303.11155>. 
 
%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}/examples
%doc %{rlibdir}/%{packname}/help
%doc %{rlibdir}/%{packname}/html
%{rlibdir}/%{packname}/libs
 
%changelog 
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