File R-autogam.spec of Package R-autogam

# Automatically generated by CRAN2OBS
# 
# Spec file for package autogam 
# 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) 2025 SUSE LINUX GmbH, Nuernberg, Germany. 
# 
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# remain the property of their copyright owners, unless otherwise agreed 
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# published by the Open Source Initiative. 
#  
# Please submit bugfixes or comments via http://bugs.opensuse.org/ 
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%global packname  autogam 
%global rlibdir   %{_libdir}/R/library 
 
Name:           R-%{packname} 
Version:        0.1.0 
Release:        0 
Summary:        Automate the Creation of Generalized Additive Models (GAMs) 
Group:          Development/Libraries/Other 
License:        MIT + file LICENSE 
URL:            http://cran.r-project.org/web/packages/%{packname} 
Source:         autogam_0.1.0.tar.gz 
Requires:       R-base 
Requires:	R-cli
Requires:	R-dplyr
Requires:	R-purrr
Requires:	R-rlang
Requires:	R-staccuracy
Requires:	R-stringr
Requires:	R-univariateML
Requires:	R-generics
Requires:	R-glue
Requires:	R-lifecycle
Requires:	R-magrittr
Requires:	R-pillar
Requires:	R-R6
Requires:	R-tibble
Requires:	R-tidyselect
Requires:	R-vctrs
Requires:	R-tidyr
Requires:	R-stringi
Requires:	R-assertthat
Requires:	R-extraDistr
Requires:	R-logitnorm
Requires:	R-actuar
Requires:	R-nakagami
Requires:	R-fGarch
Requires:	R-intervals
Requires:	R-Rfast
Requires:	R-pracma
Requires:	R-sads
Requires:	R-expint
Requires:	R-Rcpp
Requires:	R-fBasics
Requires:	R-timeDate
Requires:	R-timeSeries
Requires:	R-fastICA
Requires:	R-cvar
Requires:	R-utf8
Requires:	R-zigg
Requires:	R-RcppParallel
Requires:	R-RcppArmadillo
Requires:	R-bbmle
Requires:	R-VGAM
Requires:	R-poilog
Requires:	R-GUILDS
Requires:	R-poweRlaw
Requires:	R-pkgconfig
Requires:	R-cpp11
Requires:	R-withr
Requires:	R-numDeriv
Requires:	R-bdsmatrix
Requires:	R-mvtnorm
Requires:	R-gbutils
Requires:	R-Rdpack
Requires:	R-gss
Requires:	R-stabledist
Requires:	R-nloptr
Requires:	R-rbibutils
 
# %%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-cli
BuildRequires: 	R-dplyr
BuildRequires: 	R-purrr
BuildRequires: 	R-rlang
BuildRequires: 	R-staccuracy
BuildRequires: 	R-stringr
BuildRequires: 	R-univariateML
BuildRequires: 	R-generics
BuildRequires: 	R-glue
BuildRequires: 	R-lifecycle
BuildRequires: 	R-magrittr
BuildRequires: 	R-pillar
BuildRequires: 	R-R6
BuildRequires: 	R-tibble
BuildRequires: 	R-tidyselect
BuildRequires: 	R-vctrs
BuildRequires: 	R-tidyr
BuildRequires: 	R-stringi
BuildRequires: 	R-assertthat
BuildRequires: 	R-extraDistr
BuildRequires: 	R-logitnorm
BuildRequires: 	R-actuar
BuildRequires: 	R-nakagami
BuildRequires: 	R-fGarch
BuildRequires: 	R-intervals
BuildRequires: 	R-Rfast
BuildRequires: 	R-pracma
BuildRequires: 	R-sads
BuildRequires: 	R-expint
BuildRequires: 	R-Rcpp-devel
BuildRequires: 	R-fBasics
BuildRequires: 	R-timeDate
BuildRequires: 	R-timeSeries
BuildRequires: 	R-fastICA
BuildRequires: 	R-cvar
BuildRequires: 	R-utf8
BuildRequires: 	R-zigg
BuildRequires: 	R-RcppParallel-devel
BuildRequires: 	R-RcppArmadillo-devel
BuildRequires: 	R-bbmle
BuildRequires: 	R-VGAM
BuildRequires: 	R-poilog
BuildRequires: 	R-GUILDS
BuildRequires: 	R-poweRlaw
BuildRequires: 	R-pkgconfig
BuildRequires: 	R-cpp11-devel
BuildRequires: 	R-withr
BuildRequires: 	R-numDeriv
BuildRequires: 	R-bdsmatrix
BuildRequires: 	R-mvtnorm
BuildRequires: 	R-gbutils
BuildRequires: 	R-Rdpack
BuildRequires: 	R-gss
BuildRequires: 	R-stabledist
BuildRequires: 	R-nloptr
BuildRequires: 	R-rbibutils
 
Suggests:	R-testthat
%description 
This wrapper package for 'mgcv' makes it easier to create 
high-performing Generalized Additive Models (GAMs). With its central 
function autogam(), by entering just a dataset and the name of the 
outcome column as inputs, 'AutoGAM' tries to automate the procedure of 
configuring a highly accurate GAM which performs at reasonably high 
speed, even for large datasets. 
 
%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}/WORDLIST
%doc %{rlibdir}/%{packname}/help
%doc %{rlibdir}/%{packname}/html
 
%changelog