File R-cpfa.spec of Package R-cpfa
# Automatically generated by CRAN2OBS
#
# Spec file for package cpfa
# 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.
#
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# 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
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%global packname cpfa
%global rlibdir %{_libdir}/R/library
Name: R-%{packname}
Version: 1.2.2
Release: 0
Summary: Classification with Parallel Factor Analysis
Group: Development/Libraries/Other
License: GPL (>= 2)
URL: http://cran.r-project.org/web/packages/%{packname}
Source: cpfa_1.2-2.tar.gz
Requires: R-base
Requires: R-multiway
Requires: R-glmnet
Requires: R-e1071
Requires: R-randomForest
Requires: R-rda
Requires: R-xgboost
Requires: R-foreach
Requires: R-doParallel
Requires: R-iterators
Requires: R-proxy
Requires: R-shape
Requires: R-Rcpp
Requires: R-RcppEigen
Requires: R-CMLS
Requires: R-data.table
Requires: R-jsonlite
Requires: R-quadprog
# %%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-multiway
BuildRequires: R-glmnet
BuildRequires: R-e1071
BuildRequires: R-randomForest
BuildRequires: R-rda
BuildRequires: R-xgboost
BuildRequires: R-foreach
BuildRequires: R-doParallel
BuildRequires: R-iterators
BuildRequires: R-proxy
BuildRequires: R-shape
BuildRequires: R-Rcpp-devel
BuildRequires: R-RcppEigen-devel
BuildRequires: R-CMLS
BuildRequires: R-data.table
BuildRequires: R-jsonlite
BuildRequires: R-quadprog
Suggests: R-knitr
Suggests: R-rmarkdown
%description
Classification using Richard A. Harshman's Parallel Factor Analysis-1
(Parafac) model or Parallel Factor Analysis-2 (Parafac2) model fit to a
three-way or four-way data array. See Harshman and Lundy (1994):
<doi:10.1016/0167-9473(94)90132-5>. Uses component weights from one
mode of a Parafac or Parafac2 model as features to tune parameters for
one or more classification methods via a k-fold cross-validation
procedure. Allows for constraints on different tensor modes. Supports
penalized logistic regression, support vector machine, random forest,
feed-forward neural network, regularized discriminant analysis, and
gradient boosting machine. Supports binary and multiclass
classification. Predicts class labels or class probabilities and
calculates multiple classification performance measures. Implements
parallel computing via the 'parallel' and 'doParallel' packages.
%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}/doc
%doc %{rlibdir}/%{packname}/help
%doc %{rlibdir}/%{packname}/html
%changelog
