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R-partition
R-partition.spec
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File R-partition.spec of Package R-partition
# Automatically generated by CRAN2OBS # # Spec file for package partition # 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) 2024 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 partition %global rlibdir %{_libdir}/R/library Name: R-%{packname} Version: 0.2.1 Release: 0 Summary: Agglomerative Partitioning Framework for Dimension Reduction Group: Development/Libraries/Other License: MIT + file LICENSE URL: http://cran.r-project.org/web/packages/%{packname} Source: partition_0.2.1.tar.gz Requires: R-base Requires: R-crayon Requires: R-dplyr Requires: R-forcats Requires: R-ggplot2 Requires: R-infotheo Requires: R-magrittr Requires: R-pillar Requires: R-progress Requires: R-purrr Requires: R-Rcpp Requires: R-rlang Requires: R-stringr Requires: R-tibble Requires: R-tidyr Requires: R-RcppArmadillo Requires: R-cli Requires: R-generics Requires: R-glue Requires: R-lifecycle Requires: R-R6 Requires: R-tidyselect Requires: R-vctrs Requires: R-gtable Requires: R-isoband Requires: R-scales Requires: R-withr Requires: R-fansi Requires: R-utf8 Requires: R-hms Requires: R-prettyunits Requires: R-stringi Requires: R-pkgconfig Requires: R-cpp11 Requires: R-farver Requires: R-labeling Requires: R-munsell Requires: R-RColorBrewer Requires: R-viridisLite Requires: R-colorspace # %%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-crayon BuildRequires: R-dplyr BuildRequires: R-forcats BuildRequires: R-ggplot2 BuildRequires: R-infotheo BuildRequires: R-magrittr BuildRequires: R-pillar BuildRequires: R-progress BuildRequires: R-purrr BuildRequires: R-Rcpp-devel BuildRequires: R-rlang BuildRequires: R-stringr BuildRequires: R-tibble BuildRequires: R-tidyr BuildRequires: R-RcppArmadillo-devel BuildRequires: R-cli BuildRequires: R-generics BuildRequires: R-glue BuildRequires: R-lifecycle BuildRequires: R-R6 BuildRequires: R-tidyselect BuildRequires: R-vctrs BuildRequires: R-gtable BuildRequires: R-isoband BuildRequires: R-scales BuildRequires: R-withr BuildRequires: R-fansi BuildRequires: R-utf8 BuildRequires: R-hms BuildRequires: R-prettyunits BuildRequires: R-stringi BuildRequires: R-pkgconfig BuildRequires: R-cpp11-devel BuildRequires: R-farver BuildRequires: R-labeling BuildRequires: R-munsell BuildRequires: R-RColorBrewer BuildRequires: R-viridisLite BuildRequires: R-colorspace BuildRequires: gcc gcc-c++ gcc-fortran Suggests: R-covr Suggests: R-genieclust Suggests: R-ggcorrplot Suggests: R-gtools Suggests: R-knitr Suggests: R-rmarkdown Suggests: R-spelling Suggests: R-testthat %description A fast and flexible framework for agglomerative partitioning. 'partition' uses an approach called Direct-Measure-Reduce to create new variables that maintain the user-specified minimum level of information. Each reduced variable is also interpretable: the original variables map to one and only one variable in the reduced data set. 'partition' is flexible, as well: how variables are selected to reduce, how information loss is measured, and the way data is reduced can all be customized. 'partition' is based on the Partition framework discussed in Millstein et al. (2020) <doi:10.1093/bioinformatics/btz661>. %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 %license %{rlibdir}/%{packname}/LICENSE %{rlibdir}/%{packname}/Meta %{rlibdir}/%{packname}/NAMESPACE %doc %{rlibdir}/%{packname}/NEWS.md %{rlibdir}/%{packname}/R %{rlibdir}/%{packname}/WORDLIST %{rlibdir}/%{packname}/data %{rlibdir}/%{packname}/doc %doc %{rlibdir}/%{packname}/help %doc %{rlibdir}/%{packname}/html %{rlibdir}/%{packname}/libs %changelog
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