How to Install and Uninstall r-cran-seroincidence Package on Ubuntu 16.04 LTS (Xenial Xerus)

Last updated: May 13,2024

1. Install "r-cran-seroincidence" package

Learn how to install r-cran-seroincidence on Ubuntu 16.04 LTS (Xenial Xerus)


    
        
            $
        

        
            
                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                r-cran-seroincidence
            
                    
    
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2. Uninstall "r-cran-seroincidence" package

This guide covers the steps necessary to uninstall r-cran-seroincidence on Ubuntu 16.04 LTS (Xenial Xerus):


    
        
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                sudo apt remove
            
                        
                r-cran-seroincidence
            
                    
    
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            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the r-cran-seroincidence package on Ubuntu 16.04 LTS (Xenial Xerus)

Package: r-cran-seroincidence
Priority: optional
Section: universe/gnu-r
Installed-Size: 783
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Med Packaging Team
Architecture: all
Version: 1.0.5-1
Depends: r-base-core (>= 3.2.3-4), r-api-3
Suggests: r-cran-knitr
Filename: pool/universe/r/r-cran-seroincidence/r-cran-seroincidence_1.0.5-1_all.deb
Size: 666356
MD5sum: ab3f9205208209176740a5ab1de0a4ce
SHA1: 961a91353cf6456707e9747757510c22de338f68
SHA256: 5d91308df93290f1329b30dc8226103d69c4ced5491bac17092ec56d3e032211
Description-en: GNU R seroincidence calculator tool
Antibody levels measured in a cross-sectional population samples can be
translated into an estimate of the frequency with which seroconversions
(new infections) occur. In order to interpret the measured
cross-sectional antibody levels, parameters which predict the decay of
antibodies must be known. In previously published reports (Simonsen et
al. 2009 and Versteegh et al. 2005), this information has been obtained
from longitudinal studies on subjects who had culture-confirmed
Salmonella and Campylobacter infections. A Bayesian back-calculation
model was used to convert antibody measurements into an estimation of
time since infection. This can be used to estimate the seroincidence in
the cross-sectional sample of population. For both the longitudinal and
cross-sectional measurements of antibody concentrations, the indirect
ELISA was used. The models are only valid for persons over 18 years. The
seroincidence estimates are suitable for monitoring the effect of
control programmes when representative cross-sectional serum samples are
available for analyses. These provide more accurate information on the
infection pressure in humans across countries.
Description-md5: e23665ea473dd0e4bb2ec1224bae3e30
Homepage: http://ecdc.europa.eu/en/data-tools/seroincidence-calculator-tool/Pages/default.aspx
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Origin: Ubuntu