File R-aghq.spec of Package R-aghq

# Automatically generated by CRAN2OBS
# 
# Spec file for package aghq 
# 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 
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# published by the Open Source Initiative. 
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# Please submit bugfixes or comments via http://bugs.opensuse.org/ 
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%global packname  aghq 
%global rlibdir   %{_libdir}/R/library 
 
Name:           R-%{packname} 
Version:        0.4.1 
Release:        0 
Summary:        Adaptive Gauss Hermite Quadrature for Bayesian Inference 
Group:          Development/Libraries/Other 
License:        GPL (>= 3) 
URL:            http://cran.r-project.org/web/packages/%{packname} 
Source:         aghq_0.4.1.tar.gz 
Requires:       R-base 
Requires:	R-mvQuad
Requires:	R-rlang
Requires:	R-polynom
Requires:	R-numDeriv
Requires:	R-data.table
Requires:	R-statmod
 
# %%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-mvQuad
BuildRequires: 	R-rlang
BuildRequires: 	R-polynom
BuildRequires: 	R-numDeriv
BuildRequires: 	R-data.table
BuildRequires: 	R-statmod
 
Suggests:	R-trustOptim
Suggests:	R-trust
Suggests:	R-testthat
%description 
Adaptive Gauss Hermite Quadrature for Bayesian inference. The AGHQ 
method for normalizing posterior distributions and making Bayesian 
inferences based on them. Functions are provided for doing quadrature 
and marginal Laplace approximations, and summary methods are provided 
for making inferences based on the results. See Stringer (2021). 
"Implementing Adaptive Quadrature for Bayesian Inference: the aghq 
Package" <arXiv:2101.04468>. 
 
%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
%{rlibdir}/%{packname}/extsrc
%doc %{rlibdir}/%{packname}/help
%doc %{rlibdir}/%{packname}/html
 
%changelog 
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