generate_modelsettings {DSAIRM}

A function to parse modelsettings for simulation runs

Description

This function parses the shiny UI and gets input settings and combines those with other settings for a full definition of the model and settings that should be executed. This is a helper function.

Usage

generate_modelsettings(app_input, appsettings, appNames)

Arguments

app_input

a list of shiny GUI input

appsettings

current appsettings

appNames

character vector of app names, available in shiny server global environment upon app initialization

Details

This function returns specific settings for simulation runs as a list.

Value

modelsettings a list with model settings. List elements are:
modelsettings$apptitle - The name of the app that's being run.
modelsettings$simfunction - name of simulation function(s) as string.
modelsettings$simfunction2 - name of simulation function(s) as string.
modelsettings$is_mbmodel - indicate of simulation function has mbmodel structure modelsettings$modeltype - specify what kind of model should be run. Currently one of: _ode_, _discrete_, _stochastic_, _usanalysis_, _modelexploration_, _fit_.
For more than one model type, place _and_ between them.
modelsettings$plottype - 'Boxplot' or 'Scatterplot' , required for US app
Optinal list elements are:
List elements with names and values for inputs expected by simulation function. If not provided, defaults of simulator function are used.
modelsettings$plotscale - indicate which axis should be on a log scale (x, y or both). If not provided or set to ”, no log scales are used.
modelsettings$nplots - indicate number of plots that should be produced (number of top list elements in result). If not provided, a single plot is assumed.
modelsettings$nreps - required for stochastic models to indicate numer of repeat simulations. If not provided, a single run will be done.