How to Install and Uninstall r-cran-seroincidence Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: May 11,2024

1. Install "r-cran-seroincidence" package

Learn how to install r-cran-seroincidence on Ubuntu 20.10 (Groovy Gorilla)


    
        
            $
        

        
            
                sudo apt update
            
                    
    
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            $
        

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

Please follow the step by step instructions below to uninstall r-cran-seroincidence on Ubuntu 20.10 (Groovy Gorilla):


    
        
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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 20.10 (Groovy Gorilla)

Package: r-cran-seroincidence
Architecture: all
Version: 2.0.0-2build1
Priority: optional
Section: universe/gnu-r
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian R Packages Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 3610
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/universe/r/r-cran-seroincidence/r-cran-seroincidence_2.0.0-2build1_all.deb
Size: 3447676
MD5sum: 2a0456d6de5fd7478a92653cf4c8636a
SHA1: 0c488894d381ea6292bf8beeda3efb7d55f176ef
SHA256: 7845e79006cc08533ae00e0e2ffaa71c5b9d4cdf6afd72a2b641679f40fdf216
SHA512: c9eb1c87fd9c417e8da529b695b87624d0a947eaac0fbd5d0b74e6be4565ce1954a46ee56e0586e0ef85bf5eaeec1febb7a28950fd684d8dfb46cb0adddf793d
Homepage: https://ecdc.europa.eu/en/data-tools/seroincidence-calculator-tool/Pages/default.aspx
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