File R-cytominer.spec of Package R-cytominer

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# Spec file for package cytominer 
# 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  cytominer 
%global rlibdir   %{_libdir}/R/library 
 
Name:           R-%{packname} 
Version:        0.2.2 
Release:        0 
Summary:        Methods for Image-Based Cell Profiling 
Group:          Development/Libraries/Other 
License:        BSD_3_clause + file LICENSE 
URL:            http://cran.r-project.org/web/packages/%{packname} 
Source:         cytominer_0.2.2.tar.gz 
Requires:       R-base 
Requires:	R-caret
Requires:	R-doParallel
Requires:	R-dplyr
Requires:	R-foreach
Requires:	R-futile.logger
Requires:	R-magrittr
Requires:	R-purrr
Requires:	R-rlang
Requires:	R-tibble
Requires:	R-tidyr
Requires:	R-ggplot2
Requires:	R-e1071
Requires:	R-ModelMetrics
Requires:	R-plyr
Requires:	R-pROC
Requires:	R-recipes
Requires:	R-reshape2
Requires:	R-withr
Requires:	R-iterators
Requires:	R-cli
Requires:	R-generics
Requires:	R-glue
Requires:	R-lifecycle
Requires:	R-pillar
Requires:	R-R6
Requires:	R-tidyselect
Requires:	R-vctrs
Requires:	R-lambda.r
Requires:	R-futile.options
Requires:	R-pkgconfig
Requires:	R-stringr
Requires:	R-cpp11
Requires:	R-proxy
Requires:	R-gtable
Requires:	R-isoband
Requires:	R-S7
Requires:	R-scales
Requires:	R-formatR
Requires:	R-Rcpp
Requires:	R-data.table
Requires:	R-utf8
Requires:	R-clock
Requires:	R-gower
Requires:	R-hardhat
Requires:	R-ipred
Requires:	R-lubridate
Requires:	R-sparsevctrs
Requires:	R-timeDate
Requires:	R-stringi
Requires:	R-tzdb
Requires:	R-prodlim
Requires:	R-timechange
Requires:	R-farver
Requires:	R-labeling
Requires:	R-RColorBrewer
Requires:	R-viridisLite
Requires:	R-diagram
Requires:	R-lava
Requires:	R-shape
Requires:	R-future.apply
Requires:	R-numDeriv
Requires:	R-progressr
Requires:	R-SQUAREM
Requires:	R-future
Requires:	R-globals
Requires:	R-digest
Requires:	R-listenv
Requires:	R-parallelly
 
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Suggests:	R-DBI
Suggests:	R-dbplyr
Suggests:	R-knitr
Suggests:	R-lazyeval
Suggests:	R-readr
Suggests:	R-rmarkdown
Suggests:	R-RSQLite
Suggests:	R-stringr
Suggests:	R-testthat
%description 
Typical morphological profiling datasets have millions of cells and 
hundreds of features per cell. When working with this data, you must 
clean the data, normalize the features to make them comparable across 
experiments, transform the features, select features based on their 
quality, and aggregate the single-cell data, if needed. 'cytominer' 
makes these steps fast and easy. Methods used in practice in the field 
are discussed in Caicedo (2017) <doi:10.1038/nmeth.4397>. An overview 
of the field is presented in Caicedo (2016) 
<doi:10.1016/j.copbio.2016.04.003>. 
 
%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
%license %{rlibdir}/%{packname}/LICENSE
%{rlibdir}/%{packname}/Meta
%{rlibdir}/%{packname}/NAMESPACE
%doc %{rlibdir}/%{packname}/NEWS.md
%{rlibdir}/%{packname}/R
%{rlibdir}/%{packname}/doc
%{rlibdir}/%{packname}/extdata
%doc %{rlibdir}/%{packname}/help
%doc %{rlibdir}/%{packname}/html
 
%changelog