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

Last updated: May 14,2024

1. Install "r-cran-surveillance" package

Please follow the steps below to install r-cran-surveillance on Ubuntu 16.04 LTS (Xenial Xerus)


    
        
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                sudo apt update
            
                    
    
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            $
        

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

This guide let you learn how to uninstall r-cran-surveillance on Ubuntu 16.04 LTS (Xenial Xerus):


    
        
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                sudo apt remove
            
                        
                r-cran-surveillance
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the r-cran-surveillance package on Ubuntu 16.04 LTS (Xenial Xerus)

Package: r-cran-surveillance
Priority: optional
Section: multiverse/science
Installed-Size: 4023
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Med Packaging Team
Architecture: amd64
Version: 1.10-0-2
Depends: libc6 (>= 2.14), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 5.2), r-base-core (>= 3.2.2-1), r-api-3, r-cran-sp, r-cran-rcpp, r-cran-xtable, r-cran-mass, r-cran-matrix, r-cran-spatstat, r-cran-polycub
Recommends: r-cran-spc, r-cran-maptools, r-cran-msm, r-cran-colorspace, r-cran-spdep, r-cran-memoise, r-cran-gsl, r-cran-quadprog, r-cran-coda
Suggests: r-cran-xts, r-cran-gridextra, r-cran-scales, r-cran-maxlik, r-cran-numderiv
Filename: pool/multiverse/r/r-cran-surveillance/r-cran-surveillance_1.10-0-2_amd64.deb
Size: 3244334
MD5sum: c963c51e34529c81fb981bb8113cf009
SHA1: d91c12aa0b414161af89e735e30dfaf9b6723ef5
SHA256: abfb2a6c150ec35a5afa4c4636ca47d45a3192ff0d53660d7576e62d4d1bb8eb
Description-en: GNU R package for the Modeling and Monitoring of Epidemic Phenomena
Implementation of statistical methods for the modeling and change-point
detection in time series of counts, proportions and categorical data, as
well as for the modeling of continuous-time epidemic phenomena, e.g.,
discrete-space setups such as the spatially enriched
Susceptible-Exposed-Infectious-Recovered (SEIR) models, or
continuous-space point process data such as the occurrence of infectious
diseases. Main focus is on outbreak detection in count data time series
originating from public health surveillance of communicable diseases,
but applications could just as well originate from environmetrics,
reliability engineering, econometrics or social sciences.
.
Currently, the package contains implementations of many typical
outbreak detection procedures such as Farrington et al (1996), Noufaily
et al (2012) or the negative binomial LR-CUSUM method described in Höhle
and Paul (2008). A novel CUSUM approach combining logistic and
multinomial logistic modelling is also included. Furthermore, inference
methods for the retrospective infectious disease models in Held et al
(2005), Held et al (2006), Paul et al (2008), Paul and Held (2011), Held
and Paul (2012), and Meyer and Held (2014) are provided.
.
Continuous self-exciting spatio-temporal point processes are modeled
through additive-multiplicative conditional intensities as described in
Höhle (2009) ('twinSIR', discrete space) and Meyer et al (2012)
('twinstim', continuous space).
.
The package contains several real-world data sets, the ability to
simulate outbreak data, visualize the results of the monitoring in
temporal, spatial or spatio-temporal fashion.
.
Note: Using the 'boda' algorithm requires the 'INLA' package, which
is available from .
Description-md5: 3206ab392e2d1549a03174efb7d99d18
Homepage: http://surveillance.r-forge.r-project.org
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Origin: Ubuntu