File R-mvdalab.spec of Package R-mvdalab

# Automatically generated by CRAN2OBS
# 
# Spec file for package mvdalab 
# This file is auto-generated using information in the package source, 
# esp. Description and Summary. Improvements in that area should be 
# discussed with upstream. 
# 
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%global packname  mvdalab 
%global rlibdir   %{_libdir}/R/library 
 
Name:           R-%{packname} 
Version:        1.7 
Release:        0 
Summary:        Multivariate Data Analysis Laboratory 
Group:          Development/Libraries/Other 
License:        GPL-3 
URL:            http://cran.r-project.org/web/packages/%{packname} 
Source:         mvdalab_1.7.tar.gz 
Requires:       R-base 
Requires:	R-car
Requires:	R-ggplot2
Requires:	R-moments
Requires:	R-penalized
Requires:	R-plyr
Requires:	R-reshape2
Requires:	R-sn
Requires:	R-carData
Requires:	R-abind
Requires:	R-Formula
Requires:	R-pbkrtest
Requires:	R-quantreg
Requires:	R-lme4
Requires:	R-scales
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-Rcpp
Requires:	R-RcppArmadillo
Requires:	R-stringr
Requires:	R-mnormt
Requires:	R-numDeriv
Requires:	R-glue
Requires:	R-cpp11
Requires:	R-minqa
Requires:	R-nloptr
Requires:	R-reformulas
Requires:	R-Rdpack
Requires:	R-RcppEigen
Requires:	R-broom
Requires:	R-dplyr
Requires:	R-doBy
Requires:	R-SparseM
Requires:	R-MatrixModels
Requires:	R-farver
Requires:	R-labeling
Requires:	R-R6
Requires:	R-RColorBrewer
Requires:	R-viridisLite
Requires:	R-magrittr
Requires:	R-stringi
Requires:	R-backports
Requires:	R-generics
Requires:	R-purrr
Requires:	R-tibble
Requires:	R-tidyr
Requires:	R-cowplot
Requires:	R-Deriv
Requires:	R-forecast
Requires:	R-modelr
Requires:	R-microbenchmark
Requires:	R-pillar
Requires:	R-tidyselect
Requires:	R-rbibutils
Requires:	R-colorspace
Requires:	R-fracdiff
Requires:	R-lmtest
Requires:	R-timeDate
Requires:	R-urca
Requires:	R-zoo
Requires:	R-utf8
Requires:	R-pkgconfig
 
# %%if 0%%{?sle_version} > 120400 || 0%%{?is_opensuse} 
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%description 
An open-source implementation of latent variable methods and 
multivariate modeling tools. The focus is on exploratory analyses using 
dimensionality reduction methods including low dimensional embedding, 
classical multivariate statistical tools, and tools for enhanced 
interpretation of machine learning methods (i.e. intelligible models to 
provide important information for end-users).  Target domains include 
extension to dedicated applications e.g. for manufacturing process 
modeling, spectroscopic analyses, and data mining. 
 
%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}/data
%doc %{rlibdir}/%{packname}/help
%doc %{rlibdir}/%{packname}/html
 
%changelog