File R-mlr3spatiotempcv.spec of Package R-mlr3spatiotempcv

# Automatically generated by CRAN2OBS
# 
# Spec file for package mlr3spatiotempcv 
# 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 
# license that conforms to the Open Source Definition (Version 1.9) 
# published by the Open Source Initiative. 
#  
# Please submit bugfixes or comments via http://bugs.opensuse.org/ 
# 
 
%global packname  mlr3spatiotempcv 
%global rlibdir   %{_libdir}/R/library 
 
Name:           R-%{packname} 
Version:        2.3.4 
Release:        0 
Summary:        Spatiotemporal Resampling Methods for 'mlr3' 
Group:          Development/Libraries/Other 
License:        LGPL-3 
URL:            http://cran.r-project.org/web/packages/%{packname} 
Source:         mlr3spatiotempcv_2.3.4.tar.gz 
Requires:       R-base 
Requires:	R-mlr3
Requires:	R-checkmate
Requires:	R-data.table
Requires:	R-ggplot2
Requires:	R-mlr3misc
Requires:	R-paradox
Requires:	R-R6
Requires:	R-backports
Requires:	R-cli
Requires:	R-gtable
Requires:	R-isoband
Requires:	R-lifecycle
Requires:	R-rlang
Requires:	R-S7
Requires:	R-scales
Requires:	R-vctrs
Requires:	R-withr
Requires:	R-evaluate
Requires:	R-future
Requires:	R-future.apply
Requires:	R-lgr
Requires:	R-mirai
Requires:	R-mlbench
Requires:	R-mlr3measures
Requires:	R-parallelly
Requires:	R-palmerpenguins
Requires:	R-uuid
Requires:	R-digest
Requires:	R-globals
Requires:	R-listenv
Requires:	R-glue
Requires:	R-cpp11
Requires:	R-nanonext
Requires:	R-PRROC
Requires:	R-farver
Requires:	R-labeling
Requires:	R-RColorBrewer
Requires:	R-viridisLite
 
# %%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-mlr3
BuildRequires: 	R-checkmate
BuildRequires: 	R-data.table
BuildRequires: 	R-ggplot2
BuildRequires: 	R-mlr3misc
BuildRequires: 	R-paradox
BuildRequires: 	R-R6
BuildRequires: 	R-backports
BuildRequires: 	R-cli
BuildRequires: 	R-gtable
BuildRequires: 	R-isoband
BuildRequires: 	R-lifecycle
BuildRequires: 	R-rlang
BuildRequires: 	R-S7
BuildRequires: 	R-scales
BuildRequires: 	R-vctrs
BuildRequires: 	R-withr
BuildRequires: 	R-evaluate
BuildRequires: 	R-future
BuildRequires: 	R-future.apply
BuildRequires: 	R-lgr
BuildRequires: 	R-mirai
BuildRequires: 	R-mlbench
BuildRequires: 	R-mlr3measures
BuildRequires: 	R-parallelly
BuildRequires: 	R-palmerpenguins
BuildRequires: 	R-uuid
BuildRequires: 	R-digest
BuildRequires: 	R-globals
BuildRequires: 	R-listenv
BuildRequires: 	R-glue
BuildRequires: 	R-cpp11-devel
BuildRequires: 	R-nanonext
BuildRequires: 	R-PRROC
BuildRequires: 	R-farver
BuildRequires: 	R-labeling
BuildRequires: 	R-RColorBrewer
BuildRequires: 	R-viridisLite
 
Suggests:	R-bbotk
Suggests:	R-blockCV
Suggests:	R-caret
Suggests:	R-CAST
Suggests:	R-ggsci
Suggests:	R-ggtext
Suggests:	R-here
Suggests:	R-knitr
Suggests:	R-lgr
Suggests:	R-mlr3filters
Suggests:	R-mlr3pipelines
Suggests:	R-mlr3spatial
Suggests:	R-mlr3tuning
Suggests:	R-patchwork
Suggests:	R-plotly
Suggests:	R-rmarkdown
Suggests:	R-sf
Suggests:	R-sperrorest
Suggests:	R-terra
Suggests:	R-testthat
Suggests:	R-twosamples
Suggests:	R-vdiffr
Suggests:	R-withr
%description 
Extends the mlr3 machine learning framework with spatio-temporal 
resampling methods to account for the presence of spatiotemporal 
autocorrelation (STAC) in predictor variables. STAC may cause highly 
biased performance estimates in cross-validation if ignored. A JSS 
article is available at <doi:10.18637/jss.v111.i07>. 
 
%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}/data
%doc %{rlibdir}/%{packname}/doc
%doc %{rlibdir}/%{packname}/help
%doc %{rlibdir}/%{packname}/html
%{rlibdir}/%{packname}/references.bib
 
%changelog