File R-classmap.spec of Package R-classmap

# Automatically generated by CRAN2OBS
# 
# Spec file for package classmap 
# 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. 
# 
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%global packname  classmap 
%global rlibdir   %{_libdir}/R/library 
 
Name:           R-%{packname} 
Version:        1.2.6 
Release:        0 
Summary:        Visualizing Classification Results 
Group:          Development/Libraries/Other 
License:        GPL (>= 2) 
URL:            http://cran.r-project.org/web/packages/%{packname} 
Source:         classmap_1.2.6.tar.gz 
Requires:       R-base 
Requires:	R-ggplot2
Requires:	R-robustbase
Requires:	R-e1071
Requires:	R-cellWise
Requires:	R-kernlab
Requires:	R-gridExtra
Requires:	R-randomForest
Requires:	R-scales
Requires:	R-reshape2
Requires:	R-matrixStats
Requires:	R-rrcov
Requires:	R-svd
Requires:	R-shape
Requires:	R-Rcpp
Requires:	R-RcppArmadillo
Requires:	R-proxy
Requires:	R-cli
Requires:	R-gtable
Requires:	R-isoband
Requires:	R-lifecycle
Requires:	R-rlang
Requires:	R-S7
Requires:	R-vctrs
Requires:	R-withr
Requires:	R-DEoptimR
Requires:	R-farver
Requires:	R-glue
Requires:	R-labeling
Requires:	R-R6
Requires:	R-RColorBrewer
Requires:	R-viridisLite
Requires:	R-cpp11
Requires:	R-plyr
Requires:	R-stringr
Requires:	R-mvtnorm
Requires:	R-pcaPP
Requires:	R-magrittr
Requires:	R-stringi
 
# %%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-ggplot2
BuildRequires: 	R-robustbase
BuildRequires: 	R-e1071
BuildRequires: 	R-cellWise
BuildRequires: 	R-kernlab
BuildRequires: 	R-gridExtra
BuildRequires: 	R-randomForest
BuildRequires: 	R-scales
BuildRequires: 	R-reshape2
BuildRequires: 	R-matrixStats
BuildRequires: 	R-rrcov
BuildRequires: 	R-svd
BuildRequires: 	R-shape
BuildRequires: 	R-Rcpp-devel
BuildRequires: 	R-RcppArmadillo-devel
BuildRequires: 	R-proxy
BuildRequires: 	R-cli
BuildRequires: 	R-gtable
BuildRequires: 	R-isoband
BuildRequires: 	R-lifecycle
BuildRequires: 	R-rlang
BuildRequires: 	R-S7
BuildRequires: 	R-vctrs
BuildRequires: 	R-withr
BuildRequires: 	R-DEoptimR
BuildRequires: 	R-farver
BuildRequires: 	R-glue
BuildRequires: 	R-labeling
BuildRequires: 	R-R6
BuildRequires: 	R-RColorBrewer
BuildRequires: 	R-viridisLite
BuildRequires: 	R-cpp11-devel
BuildRequires: 	R-plyr
BuildRequires: 	R-stringr
BuildRequires: 	R-mvtnorm
BuildRequires: 	R-pcaPP
BuildRequires: 	R-magrittr
BuildRequires: 	R-stringi
 
Suggests:	R-knitr
Suggests:	R-reshape2
Suggests:	R-svd
Suggests:	R-rpart.plot
Suggests:	R-robCompositions
Suggests:	R-rmarkdown
Suggests:	R-fairml
Suggests:	R-robustHD
%description 
Tools to visualize the results of a classification or a regression. The 
graphical displays include stacked plots, silhouette plots, quasi 
residual plots, class maps, predictions plots, and predictions 
correlation plots. Implements the techniques described and illustrated 
in Raymaekers J., Rousseeuw P.J., Hubert M. (2022). Class maps for 
visualizing classification results. \emph{Technometrics}, 64(2), 
151–165. \doi{10.1080/00401706.2021.1927849} (open access), Raymaekers 
J., Rousseeuw P.J.(2022). Silhouettes and quasi residual plots for 
neural nets and tree-based classifiers. \emph{Journal of Computational 
and Graphical Statistics}, 31(4), 1332–1343. 
\doi{10.1080/10618600.2022.2050249}, and Rousseeuw, P.J. (2025). 
Explainable Linear and Generalized Linear Models by the Predictions 
Plot. <doi:10.48550/arXiv.2412.16980> (open access). Examples can be 
found in the vignettes: 
"Discriminant_analysis_examples","K_nearest_neighbors_examples", 
"Support_vector_machine_examples", "Rpart_examples", 
"Random_forest_examples", "Neural_net_examples", and 
"predsplot_examples". 
 
%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
%{rlibdir}/%{packname}/doc
%doc %{rlibdir}/%{packname}/help
%doc %{rlibdir}/%{packname}/html
 
%changelog