File R-binaryRL.spec of Package R-binaryRL
# Automatically generated by CRAN2OBS
#
# Spec file for package binaryRL
# 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.
#
# 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.
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# Please submit bugfixes or comments via http://bugs.opensuse.org/
#
%global packname binaryRL
%global rlibdir %{_libdir}/R/library
Name: R-%{packname}
Version: 0.9.8
Release: 0
Summary: Reinforcement Learning Tools for Two-Alternative Forced Choice Tasks
Group: Development/Libraries/Other
License: GPL-3
URL: http://cran.r-project.org/web/packages/%{packname}
Source: binaryRL_0.9.8.tar.gz
Requires: R-base
Requires: R-Rcpp
Requires: R-future
Requires: R-doFuture
Requires: R-foreach
Requires: R-doRNG
Requires: R-progressr
Requires: R-future.apply
Requires: R-globals
Requires: R-iterators
Requires: R-rngtools
Requires: R-digest
Requires: R-listenv
Requires: R-parallelly
# %%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-future
BuildRequires: R-doFuture
BuildRequires: R-foreach
BuildRequires: R-doRNG
BuildRequires: R-progressr
BuildRequires: R-future.apply
BuildRequires: R-globals
BuildRequires: R-iterators
BuildRequires: R-rngtools
BuildRequires: R-digest
BuildRequires: R-listenv
BuildRequires: R-parallelly
BuildRequires: gcc gcc-c++ gcc-fortran
Suggests: R-GenSA
Suggests: R-GA
Suggests: R-DEoptim
Suggests: R-pso
Suggests: R-mlrMBO
Suggests: R-mlr
Suggests: R-ParamHelpers
Suggests: R-smoof
Suggests: R-lhs
Suggests: R-DiceKriging
Suggests: R-rgenoud
Suggests: R-cmaes
Suggests: R-nloptr
%description
Tools for building Rescorla-Wagner Models for Two-Alternative Forced
Choice tasks, commonly employed in psychological research. Most
concepts and ideas within this R package are referenced from Sutton and
Barto (2018) <ISBN:9780262039246>. The package allows for the intuitive
definition of RL models using simple if-else statements and three basic
models built into this R package are referenced from Niv et al.
(2012)<doi:10.1523/JNEUROSCI.5498-10.2012>. Our approach to
constructing and evaluating these computational models is informed by
the guidelines proposed in Wilson & Collins (2019)
<doi:10.7554/eLife.49547>. Example datasets included with the package
are sourced from the work of Mason et al. (2024)
<doi:10.3758/s13423-023-02415-x>.
%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}/data
%doc %{rlibdir}/%{packname}/help
%doc %{rlibdir}/%{packname}/html
%{rlibdir}/%{packname}/libs
%changelog
