File R-CIMTx.spec of Package R-CIMTx

# Automatically generated by CRAN2OBS
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# Spec file for package CIMTx 
# This file is auto-generated using information in the package source, 
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%global packname  CIMTx 
%global rlibdir   %{_libdir}/R/library 
 
Name:           R-%{packname} 
Version:        1.2.0 
Release:        0 
Summary:        Causal Inference for Multiple Treatments with a Binary Outcome 
Group:          Development/Libraries/Other 
License:        MIT + file LICENSE 
URL:            http://cran.r-project.org/web/packages/%{packname} 
Source:         CIMTx_1.2.0.tar.gz 
Requires:       R-base 
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Requires:	R-Matching
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# %%if 0%%{?sle_version} > 120400 || 0%%{?is_opensuse} 
# # Three others commonly needed 
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%description 
Different methods to conduct causal inference for multiple treatments 
with a binary outcome, including regression adjustment, vector 
matching, Bayesian additive regression trees, targeted maximum 
likelihood and inverse probability of treatment weighting using 
different generalized propensity score models such as multinomial 
logistic regression, generalized boosted models and super learner. For 
more details, see the paper by Hu et al. 
<doi:10.1177/0962280220921909>. 
 
%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
%{rlibdir}/%{packname}/R
%doc %{rlibdir}/%{packname}/help
%doc %{rlibdir}/%{packname}/html
 
%changelog