File R-MIIPW.spec of Package R-MIIPW

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# Spec file for package MIIPW 
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%global packname  MIIPW 
%global rlibdir   %{_libdir}/R/library 
Name:           R-%{packname} 
Version:        0.1.0 
Release:        0 
Summary:        IPW and Mean Score Methods for Time-Course Missing Data 
Group:          Development/Libraries/Other 
License:        GPL-3 
URL:  {packname} 
Source:         MIIPW_0.1.0.tar.gz 
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Contains functions for data analysis of Repeated measurement 
continuous,categorical data using MCMC. Data may contain missing value 
in response and covariates. Mean Score Method and Inverse Probability 
Weighted method for parameter estimation when there is missing value in 
covariates are also included. Reference for mean score method, inverse 
probability weighted method is Wang et 
%setup -q -c -n %{packname} 
# the next line is needed, because we build without --clean in between two packages 
rm -rf ~/.R  
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} 
#%%{_bindir}/R CMD check %%{packname} 
%dir %{rlibdir}/%{packname} 
%doc %{rlibdir}/%{packname}/DESCRIPTION
%doc %{rlibdir}/%{packname}/help
%doc %{rlibdir}/%{packname}/html
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