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File R-GpGp.spec of Package R-GpGp

# Automatically generated by CRAN2OBS
# 
# Spec file for package GpGp 
# 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  GpGp 
%global rlibdir   %{_libdir}/R/library 
 
Name:           R-%{packname} 
Version:        0.5.0 
Release:        0 
Summary:        Fast Gaussian Process Computation Using Vecchia's Approximation 
Group:          Development/Libraries/Other 
License:        MIT + file LICENSE 
URL:            http://cran.r-project.org/web/packages/%{packname} 
Source:         GpGp_0.5.0.tar.gz 
Requires:       R-base 
Requires:	R-Rcpp
Requires:	R-FNN
Requires:	R-RcppArmadillo
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-Rcpp-devel
BuildRequires: 	R-FNN
BuildRequires: 	R-RcppArmadillo-devel
BuildRequires: 	R-BH-devel
BuildRequires:  gcc gcc-c++ gcc-fortran
 
Suggests:	R-fields
Suggests:	R-knitr
Suggests:	R-rmarkdown
Suggests:	R-testthat
Suggests:	R-maps
%description 
Functions for fitting and doing predictions with Gaussian process 
models using Vecchia's (1988) approximation. Package also includes 
functions for reordering input locations, finding ordered nearest 
neighbors (with help from 'FNN' package), grouping operations, and 
conditional simulations. Covariance functions for spatial and 
spatial-temporal data on Euclidean domains and spheres are provided. 
The original approximation is due to Vecchia (1988) 
<http://www.jstor.org/stable/2345768>, and the reordering and grouping 
methods are from Guinness (2018) <doi:10.1080/00401706.2018.1437476>. 
Model fitting employs a Fisher scoring algorithm described in Guinness 
(2019) <arXiv:1905.08374>. 
 
%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
%license %{rlibdir}/%{packname}/LICENSE
%{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
%{rlibdir}/%{packname}/libs
 
%changelog

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File R-GpGp.spec of Package R-GpGp

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