File R-BSL.spec of Package R-BSL
# Automatically generated by CRAN2OBS
#
# Spec file for package BSL
# 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) 2026 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 BSL
%global rlibdir %{_libdir}/R/library
Name: R-%{packname}
Version: 3.2.5
Release: 0
Summary: Bayesian Synthetic Likelihood
Group: Development/Libraries/Other
License: GPL (>= 2)
URL: http://cran.r-project.org/web/packages/%{packname}
Source: BSL_3.2.5.tar.gz
Requires: R-base
Requires: R-glasso
Requires: R-ggplot2
Requires: R-mvtnorm
Requires: R-copula
Requires: R-whitening
Requires: R-gridExtra
Requires: R-foreach
Requires: R-coda
Requires: R-Rcpp
Requires: R-doRNG
Requires: R-stringr
Requires: R-Rdpack
Requires: R-RcppArmadillo
Requires: R-colorspace
Requires: R-gsl
Requires: R-ADGofTest
Requires: R-stabledist
Requires: R-pcaPP
Requires: R-pspline
Requires: R-numDeriv
Requires: R-rngtools
Requires: R-iterators
Requires: R-cli
Requires: R-gtable
Requires: R-isoband
Requires: R-lifecycle
Requires: R-rlang
Requires: R-S7
Requires: R-scales
Requires: R-vctrs
Requires: R-withr
Requires: R-rbibutils
Requires: R-glue
Requires: R-magrittr
Requires: R-stringi
Requires: R-corpcor
Requires: R-cpp11
Requires: R-digest
Requires: R-farver
Requires: R-labeling
Requires: R-R6
Requires: R-RColorBrewer
Requires: R-viridisLite
# %%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-glasso
BuildRequires: R-ggplot2
BuildRequires: R-mvtnorm
BuildRequires: R-copula
BuildRequires: R-whitening
BuildRequires: R-gridExtra
BuildRequires: R-foreach
BuildRequires: R-coda
BuildRequires: R-Rcpp-devel
BuildRequires: R-doRNG
BuildRequires: R-stringr
BuildRequires: R-Rdpack
BuildRequires: R-RcppArmadillo-devel
BuildRequires: R-colorspace
BuildRequires: R-gsl
BuildRequires: R-ADGofTest
BuildRequires: R-stabledist
BuildRequires: R-pcaPP
BuildRequires: R-pspline
BuildRequires: R-numDeriv
BuildRequires: R-rngtools
BuildRequires: R-iterators
BuildRequires: R-cli
BuildRequires: R-gtable
BuildRequires: R-isoband
BuildRequires: R-lifecycle
BuildRequires: R-rlang
BuildRequires: R-S7
BuildRequires: R-scales
BuildRequires: R-vctrs
BuildRequires: R-withr
BuildRequires: R-rbibutils
BuildRequires: R-glue
BuildRequires: R-magrittr
BuildRequires: R-stringi
BuildRequires: R-corpcor
BuildRequires: R-cpp11-devel
BuildRequires: R-digest
BuildRequires: R-farver
BuildRequires: R-labeling
BuildRequires: R-R6
BuildRequires: R-RColorBrewer
BuildRequires: R-viridisLite
BuildRequires: gcc gcc-c++ gcc-fortran
Suggests: R-elliplot
Suggests: R-doParallel
Suggests: R-rbenchmark
Suggests: R-mixtools
%description
Bayesian synthetic likelihood (BSL, Price et al. (2018)
<doi:10.1080/10618600.2017.1302882>) is an alternative to standard,
non-parametric approximate Bayesian computation (ABC). BSL assumes a
multivariate normal distribution for the summary statistic likelihood
and it is suitable when the distribution of the model summary
statistics is sufficiently regular. This package provides a Metropolis
Hastings Markov chain Monte Carlo implementation of four methods (BSL,
uBSL, semiBSL and BSLmisspec) and two shrinkage estimators (graphical
lasso and Warton's estimator). uBSL (Price et al. (2018)
<doi:10.1080/10618600.2017.1302882>) uses an unbiased estimator to the
normal density. A semi-parametric version of BSL (semiBSL, An et al.
(2018) <arXiv:1809.05800>) is more robust to non-normal summary
statistics. BSLmisspec (Frazier et al. 2019 <arXiv:1904.04551>)
estimates the Gaussian synthetic likelihood whilst acknowledging that
there may be incompatibility between the model and the observed summary
statistic. Shrinkage estimation can help to decrease the number of
model simulations when the dimension of the summary statistic is high
(e.g., BSLasso, An et al. (2019) <doi:10.1080/10618600.2018.1537928>).
Extensions to this package are planned. For a journal article
describing how to use this package, see An et al. (2022)
<doi:10.18637/jss.v101.i11>.
%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
%doc %{rlibdir}/%{packname}/NEWS.md
%{rlibdir}/%{packname}/R
%{rlibdir}/%{packname}/REFERENCES.bib
%{rlibdir}/%{packname}/data
%doc %{rlibdir}/%{packname}/help
%doc %{rlibdir}/%{packname}/html
%{rlibdir}/%{packname}/libs
%changelog
