File R-bigPCAcpp.spec of Package R-bigPCAcpp

# Automatically generated by CRAN2OBS
# 
# Spec file for package bigPCAcpp 
# 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) 2026 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 
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# 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  bigPCAcpp 
%global rlibdir   %{_libdir}/R/library 
 
Name:           R-%{packname} 
Version:        0.9.1 
Release:        0 
Summary:        Principal Component Analysis for 'bigmemory' Matrices 
Group:          Development/Libraries/Other 
License:        GPL (>= 2) 
URL:            http://cran.r-project.org/web/packages/%{packname} 
Source:         bigPCAcpp_0.9.1.tar.gz 
Requires:       R-base 
Requires:	R-Rcpp
Requires:	R-withr
Requires:	R-bigmemory
Requires:	R-BH
Requires:	R-bigmemory.sri
Requires:	R-uuid
 
# %%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-withr
BuildRequires: 	R-bigmemory
BuildRequires: 	R-BH-devel
BuildRequires: 	R-bigmemory.sri
BuildRequires: 	R-uuid
BuildRequires:  gcc gcc-c++ gcc-fortran
 
Suggests:	R-bench
Suggests:	R-bigmemory
Suggests:	R-ggplot2
Suggests:	R-irlba
Suggests:	R-knitr
Suggests:	R-rmarkdown
Suggests:	R-testthat
%description 
High performance principal component analysis routines that operate 
directly on bigmemory::big.matrix() objects. The package avoids 
materialising large matrices in memory by streaming data through 'BLAS' 
and 'LAPACK' kernels and provides helpers to derive scores, loadings, 
correlations, and contribution diagnostics, including utilities that 
stream results into 'bigmemory'-backed matrices for file-based 
workflows. Additional interfaces expose 'scalable' singular value 
decomposition, robust PCA, and robust SVD algorithms so that users can 
explore large matrices while tempering the influence of outliers. 
'Scalable' principal component analysis is also implemented, Elgamal, 
Yabandeh, Aboulnaga, Mustafa, and Hefeeda (2015) 
<doi:10.1145/2723372.2751520>. 
 
%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
%doc %{rlibdir}/%{packname}/NEWS.md
%{rlibdir}/%{packname}/R
%{rlibdir}/%{packname}/_pkgdown.yml
%{rlibdir}/%{packname}/data
%{rlibdir}/%{packname}/doc
%doc %{rlibdir}/%{packname}/help
%doc %{rlibdir}/%{packname}/html
%{rlibdir}/%{packname}/libs
 
%changelog