File R-BEND.spec of Package R-BEND

# Automatically generated by CRAN2OBS
# 
# Spec file for package BEND 
# 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. 
#  
# Please submit bugfixes or comments via http://bugs.opensuse.org/ 
# 
 
%global packname  BEND 
%global rlibdir   %{_libdir}/R/library 
 
Name:           R-%{packname} 
Version:        1.1 
Release:        0 
Summary:        Bayesian Estimation of Nonlinear Data (BEND) 
Group:          Development/Libraries/Other 
License:        MIT + file LICENSE 
URL:            http://cran.r-project.org/web/packages/%{packname} 
Source:         BEND_1.1.tar.gz 
Requires:       R-base 
Requires:	R-coda
Requires:	R-label.switching
Requires:	R-rjags
Requires:	R-combinat
Requires:	R-lpSolve
 
# %%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-coda
BuildRequires: 	R-label.switching
BuildRequires: 	R-rjags
BuildRequires: 	R-combinat
BuildRequires: 	R-lpSolve
 
%description 
Provides a set of models to estimate nonlinear longitudinal data using 
Bayesian estimation methods. These models include the: 1) Bayesian 
Piecewise Random Effects Model (Bayes_PREM()) which estimates a 
piecewise random effects (mixture) model for a given number of latent 
classes and a latent number of possible changepoints in each class, and 
can incorporate class and outcome predictive covariates (see Lamm 
(2022) <https://hdl.handle.net/11299/252533> and Lock et al., (2018) 
<doi:10.1007/s11336-017-9594-5>), 2) Bayesian Crossed Random Effects 
Model (Bayes_CREM()) which estimates a linear, quadratic, exponential, 
or piecewise crossed random effects models where individuals are 
changing groups over time (e.g., students and schools; see Rohloff et 
al., (2024) <doi:10.1111/bmsp.12334>), and 3) Bayesian Bivariate 
Piecewise Random Effects Model (Bayes_BPREM()) which estimates a 
bivariate piecewise random effects model to jointly model two related 
outcomes (e.g., reading and math achievement; see Peralta et al., 
(2022) <doi:10.1037/met0000358>). 
 
%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
%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
 
%changelog