seirs.app: Launch a shiny-app simulating the SEIRS model
In shinySIR: Interactive Plotting for Mathematical Models of Infectious Disease Spread
Description
Usage
Format
Details
Examples
Description
This launches an app running the SEIRS model i.e. a model incorporating latency and loss of immunity.
Usage
1
Format
An object of class shiny.appobj of length 5.
Details
Launch app for details
Examples
1
## Not run: seirs.app
Example output
Loading required package: dplyr
Attaching package: ‘dplyr’
The following objects are masked from ‘package:stats’:
filter, lag
The following objects are masked from ‘package:base’:
intersect, setdiff, setequal, union
Loading required package: tidyr
Loading required package: ggplot2
Loading required package: shiny
Loading required package: deSolve
shinySIR documentation built on Oct. 23, 2020, 7:36 p.m.
R Package Documentation
Browse R Packages
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description Usage Format Details Examples
Description
This launches an app running the SEIRS model i.e. a model incorporating latency and loss of immunity.
Usage
1 |
Format
An object of class shiny.appobj of length 5.
Details
Launch app for details
Examples
1 | ## Not run: seirs.app
|
Example output
Loading required package: dplyr
Attaching package: ‘dplyr’
The following objects are masked from ‘package:stats’:
filter, lag
The following objects are masked from ‘package:base’:
intersect, setdiff, setequal, union
Loading required package: tidyr
Loading required package: ggplot2
Loading required package: shiny
Loading required package: deSolve
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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