File R-deepgp.spec of Package R-deepgp

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File R-deepgp.spec of Package R-deepgp

# Automatically generated by CRAN2OBS
# 
# Spec file for package deepgp 
# 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) 2024 SUSE LINUX GmbH, Nuernberg, Germany. 
# 
# All modifications and additions to the file contributed by third parties 
# remain the property of their copyright owners, unless otherwise agreed 
# upon. The license for this file, and modifications and additions to the 
# file, is the same license as for the pristine package itself (unless the 
# license for the pristine package is not an Open Source License, in which 
# case the license is the MIT License). An "Open Source License" is a 
# license that conforms to the Open Source Definition (Version 1.9) 
# published by the Open Source Initiative. 
#  
# Please submit bugfixes or comments via http://bugs.opensuse.org/ 
# 
 
%global packname  deepgp 
%global rlibdir   %{_libdir}/R/library 
 
Name:           R-%{packname} 
Version:        1.1.2 
Release:        0 
Summary:        Bayesian Deep Gaussian Processes using MCMC 
Group:          Development/Libraries/Other 
License:        LGPL 
URL:            http://cran.r-project.org/web/packages/%{packname} 
Source:         deepgp_1.1.2.tar.gz 
Requires:       R-base 
Requires:	R-doParallel
Requires:	R-foreach
Requires:	R-GpGp
Requires:	R-Rcpp
Requires:	R-mvtnorm
Requires:	R-FNN
Requires:	R-RcppArmadillo
Requires:	R-iterators
Requires:	R-BH
 
# %%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-doParallel
BuildRequires: 	R-foreach
BuildRequires: 	R-GpGp
BuildRequires: 	R-Rcpp-devel
BuildRequires: 	R-mvtnorm
BuildRequires: 	R-FNN
BuildRequires: 	R-RcppArmadillo-devel
BuildRequires: 	R-iterators
BuildRequires: 	R-BH-devel
BuildRequires:  gcc gcc-c++ gcc-fortran
 
Suggests:	R-interp
Suggests:	R-knitr
Suggests:	R-rmarkdown
%description 
Performs Bayesian posterior inference for deep Gaussian processes 
following Sauer, Gramacy, and Higdon (2023, 
<doi:10.48550/arXiv.2012.08015>).  See Sauer (2023, 
<http://hdl.handle.net/10919/114845>) for comprehensive methodological 
details and <https://bitbucket.org/gramacylab/deepgp-ex/> for a variety 
of coding examples. Models are trained through MCMC including 
elliptical slice sampling of latent Gaussian layers and 
Metropolis-Hastings sampling of kernel hyperparameters. 
Vecchia-approximation for faster computation is implemented following 
Sauer, Cooper, and Gramacy (2023, <doi:10.48550/arXiv.2204.02904>). 
Downstream tasks include sequential design through active learning 
Cohn/integrated mean squared error (ALC/IMSE; Sauer, Gramacy, and 
Higdon, 2023), optimization through expected improvement (EI; Gramacy, 
Sauer, and Wycoff, 2022 <doi:10.48550/arXiv.2112.07457>), and contour 
location through entropy (Booth, Renganathan, and Gramacy, 2024 
<doi:10.48550/arXiv.2308.04420>).  Models extend up to three layers 
deep; a one layer model is equivalent to typical Gaussian process 
regression.  Incorporates OpenMP and SNOW parallelization and utilizes 
C/C++ under the hood. 
 
%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
%{rlibdir}/%{packname}/R
%{rlibdir}/%{packname}/doc
%doc %{rlibdir}/%{packname}/help
%doc %{rlibdir}/%{packname}/html
%{rlibdir}/%{packname}/libs
%{rlibdir}/%{packname}/
 
%changelog

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