Changes between Version 15 and Version 16 of ConcurrencyExercise4C


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Timestamp:
05/13/15 14:57:54 (4 years ago)
Author:
sjenness
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  • ConcurrencyExercise4C

    v15 v16  
    2020* At some point, try stepping through the code line by line, so as to really get a sense of what is happening at each point. Feel free to query different objects as you go to see what they equal, in order to increase your intuition. Because of the time loop in the code, you may want to replace the loop with a single time step so you can run each line in the loop independently. 
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    22 An additional option is to use a [http://spark.rstudio.com/statnet/Conc/ Web Interface] that hides the code in the background, and simplifies the process of exploring multiple scenarios. One may use this in addition to, or instead of, working with the code directly.  Note that the individual simulations being shown in the Interface have been run in advance; this limits the range of explorable scenarios, but it allows users to quickly compare many different parameter combinations and explore the behavior of the epidemic out for a long time (2500 months). This also allows the scenarios to begin with lower prevalence (1%) than the code does by default, and demonstrate that the equilibrium prevalence is still the same. 
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    24 A third option is to explore the code using the R package [http://cran.r-project.org/web/packages/EpiModel/index.html EpiModel]. It is included there as a function called conc.microsim. The EpiModel package also allows you to extend beyond this one example to build other models of disease transmission. 
     22An additional option is to use a [https://statnet.shinyapps.io/concurrency/ Web Interface] that hides the code in the background, and simplifies the process of exploring multiple scenarios. One may use this in addition to, or instead of, working with the code directly.  This also allows the scenarios to begin with lower prevalence (1%) than the code does by default, and demonstrate that the equilibrium prevalence is still the same. A third option is to explore the code using the R package [https://github.com/statnet/concurrency.sim concurrency.sim]. 
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    2624[wiki:ConcurrencyExercise4 Back to Exercise 4 Introduction]