File R-deepregression.spec of Package R-deepregression

# Automatically generated by CRAN2OBS
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# Spec file for package deepregression 
# 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  deepregression 
%global rlibdir   %{_libdir}/R/library 
 
Name:           R-%{packname} 
Version:        2.3.2 
Release:        0 
Summary:        Fitting Deep Distributional Regression 
Group:          Development/Libraries/Other 
License:        GPL-3 
URL:            http://cran.r-project.org/web/packages/%{packname} 
Source:         deepregression_2.3.2.tar.gz 
Requires:       R-base 
Requires:	R-tensorflow
Requires:	R-tfprobability
Requires:	R-keras
Requires:	R-dplyr
Requires:	R-R6
Requires:	R-reticulate
Requires:	R-magrittr
Requires:	R-tfruns
Requires:	R-coro
Requires:	R-torchvision
Requires:	R-luz
Requires:	R-torch
Requires:	R-rlang
Requires:	R-cli
Requires:	R-generics
Requires:	R-glue
Requires:	R-lifecycle
Requires:	R-pillar
Requires:	R-tibble
Requires:	R-tidyselect
Requires:	R-vctrs
Requires:	R-zeallot
Requires:	R-progress
Requires:	R-purrr
Requires:	R-fs
Requires:	R-prettyunits
Requires:	R-Rcpp
Requires:	R-RcppTOML
Requires:	R-here
Requires:	R-jsonlite
Requires:	R-png
Requires:	R-rappdirs
Requires:	R-withr
Requires:	R-config
Requires:	R-processx
Requires:	R-yaml
Requires:	R-tfautograph
Requires:	R-rstudioapi
Requires:	R-base64enc
Requires:	R-whisker
Requires:	R-bit64
Requires:	R-callr
Requires:	R-desc
Requires:	R-safetensors
Requires:	R-scales
Requires:	R-jpeg
Requires:	R-tiff
Requires:	R-abind
Requires:	R-bit
Requires:	R-rprojroot
Requires:	R-utf8
Requires:	R-ps
Requires:	R-crayon
Requires:	R-hms
Requires:	R-farver
Requires:	R-labeling
Requires:	R-RColorBrewer
Requires:	R-viridisLite
Requires:	R-backports
Requires:	R-pkgconfig
 
# %%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-tensorflow
BuildRequires: 	R-tfprobability
BuildRequires: 	R-keras
BuildRequires: 	R-dplyr
BuildRequires: 	R-R6
BuildRequires: 	R-reticulate
BuildRequires: 	R-magrittr
BuildRequires: 	R-tfruns
BuildRequires: 	R-coro
BuildRequires: 	R-torchvision
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BuildRequires: 	R-prettyunits
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BuildRequires: 	R-rstudioapi
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Suggests:	R-testthat
Suggests:	R-knitr
Suggests:	R-covr
%description 
Allows for the specification of semi-structured deep distributional 
regression models which are fitted in a neural network as proposed by 
Ruegamer et al. (2023) <doi:10.18637/jss.v105.i02>. Predictors can be 
modeled using structured (penalized) linear effects, structured 
non-linear effects or using an unstructured deep network model. 
 
%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
%{rlibdir}/%{packname}/R
%doc %{rlibdir}/%{packname}/help
%doc %{rlibdir}/%{packname}/html
%{rlibdir}/%{packname}/python
 
%changelog