This function runs a model based on information provided in the modelsettings list passed into it.
run_model(modelsettings)a list with model settings. Required list elements are: modelsettings$simfunction - name of simulation function(s) as string. modelsettings$modeltype - specify what kind of model should be run. Currently one of: _ode_, _discrete_, _stochastic_, _usanalysis_, _modelexploration_, _fit_ . 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.
A vectored list named "result" with each main list element containing the simulation results in a dataframe called dat and associated metadata required for generate_plot and generate_text functions. Most often there is only one main list entry (result[[1]]) for a single plot/text.
This function runs a model for specific settings.