File R-lsmeans.spec of Package R-lsmeans

# Automatically generated by CRAN2OBS
# 
# Spec file for package lsmeans 
# 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. 
# 
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# 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  lsmeans 
%global rlibdir   %{_libdir}/R/library 
 
Name:           R-%{packname} 
Version:        2.30.2 
Release:        0 
Summary:        Least-Squares Means 
Group:          Development/Libraries/Other 
License:        GPL-2 | GPL-3 
URL:            http://cran.r-project.org/web/packages/%{packname} 
Source:         lsmeans_2.30-2.tar.gz 
Requires:       R-base 
Requires:	R-emmeans
Requires:	R-estimability
Requires:	R-mvtnorm
Requires:	R-numDeriv
Requires:	R-rlang
 
# %%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-emmeans
BuildRequires: 	R-estimability
BuildRequires: 	R-mvtnorm
BuildRequires: 	R-numDeriv
BuildRequires: 	R-rlang
 
%description 
Obtain least-squares means for linear, generalized linear, and mixed 
models. Compute contrasts or linear functions of least-squares means, 
and comparisons of slopes. Plots and compact letter displays. 
Least-squares means were proposed in Harvey, W (1960) "Least-squares 
analysis of data with unequal subclass numbers", Tech Report ARS-20-8, 
USDA National Agricultural Library, and discussed further in Searle, 
Speed, and Milliken (1980) "Population marginal means in the linear 
model: An alternative to least squares means", The American 
Statistician 34(4), 216-221 <doi:10.1080/00031305.1980.10483031>. NOTE: 
lsmeans now relies primarily on code in the 'emmeans' package. 
'lsmeans' will be archived in the near future. 
 
%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
%{rlibdir}/%{packname}/R
%doc %{rlibdir}/%{packname}/help
%doc %{rlibdir}/%{packname}/html
 
%changelog