File R-shadowVIMP.spec of Package R-shadowVIMP
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# Spec file for package shadowVIMP
# This file is auto-generated using information in the package source,
# esp. Description and Summary. Improvements in that area should be
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%global packname shadowVIMP
%global rlibdir %{_libdir}/R/library
Name: R-%{packname}
Version: 1.0.2
Release: 0
Summary: Covariate Selection Based on VIMP Permutation-Like Testing
Group: Development/Libraries/Other
License: Apache License (>= 2)
URL: http://cran.r-project.org/web/packages/%{packname}
Source: shadowVIMP_1.0.2.tar.gz
Requires: R-base
Requires: R-dplyr
Requires: R-ggforce
Requires: R-ggplot2
Requires: R-ggpubr
Requires: R-magrittr
Requires: R-patchwork
Requires: R-ranger
Requires: R-rlang
Requires: R-stringr
Requires: R-tidyr
Requires: R-cli
Requires: R-generics
Requires: R-glue
Requires: R-lifecycle
Requires: R-pillar
Requires: R-R6
Requires: R-tibble
Requires: R-tidyselect
Requires: R-vctrs
Requires: R-scales
Requires: R-tweenr
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Requires: R-cpp11
Requires: R-isoband
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Requires: R-ggsci
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Requires: R-cowplot
Requires: R-ggsignif
Requires: R-gridExtra
Requires: R-polynom
Requires: R-rstatix
Requires: R-farver
Requires: R-Rcpp
Requires: R-RcppEigen
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Requires: R-utf8
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Requires: R-corrplot
Requires: R-car
Requires: R-labeling
Requires: R-RColorBrewer
Requires: R-viridisLite
Requires: R-base64enc
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Requires: R-pkgconfig
Requires: R-backports
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Requires: R-quantreg
Requires: R-lme4
Requires: R-minqa
Requires: R-nloptr
Requires: R-reformulas
Requires: R-numDeriv
Requires: R-doBy
Requires: R-SparseM
Requires: R-MatrixModels
Requires: R-Deriv
Requires: R-modelr
Requires: R-microbenchmark
Requires: R-Rdpack
Requires: R-rbibutils
# %%if 0%%{?sle_version} > 120400 || 0%%{?is_opensuse}
# # Three others commonly needed
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Suggests: R-knitr
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Suggests: R-spelling
Suggests: R-testthat
%description
A statistical method for reducing the number of covariates in an
analysis by evaluating Variable Importance Measures (VIMPs) derived
from the Random Forest algorithm. It performs statistical tests on the
VIMPs and outputs whether the covariate is significant along with the
p-values.
%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
%doc %{rlibdir}/%{packname}/NEWS.md
%{rlibdir}/%{packname}/R
%{rlibdir}/%{packname}/WORDLIST
%doc %{rlibdir}/%{packname}/doc
%doc %{rlibdir}/%{packname}/help
%doc %{rlibdir}/%{packname}/html
%changelog
