emulate_efast_sampled_parameters: Emulate simulations for a set of eFAST generated parameter...
In kalden/spartan: Simulation Parameter Analysis R Toolkit ApplicatioN: 'spartan'

Description Usage Arguments

This method runs an ensemble for all parameter value sets specified in a CSV file generated from spartan eFAST sampling techniques. The output is a set of CSV files that can then be analysed using the spartan analysis methods detailed in Technique 4.

emulate_efast_sampled_parameters(filepath, surrogateModel, parameters,
  measures, num_curves, ensemble_set = TRUE, normalise = FALSE,
  timepoint = NULL, csv_file_input = TRUE, spartan_sample_obj = NULL,
  write_csv_file_out = TRUE, normalise_result = FALSE)

`filepath`	Path to the folder containing the set of CSV files for eFAST analysis
`surrogateModel`	Ensemble or emulator to use to emulate the simulation responses for those sets
`parameters`	Simulation parameter names
`measures`	Simulation output response names
`num_curves`	Number of resample curves used in eFAST sampling
`ensemble_set`	Boolean stating whether this analysis is being run using an ensemble of machine learning methods (TRUE), or a single emulator (FALSE)
`normalise`	Whether the parameters in the sampling CSV files need to be normalised before input to the emulator (which must take values between 0 and 1)
`timepoint`	Simulation timepoint being analysed, if more than one. See the vignette for analysing more than one timepoint
`csv_file_input`	Whether parameters to emulate are being supplied in a CSV file. Default is TRUE, with spartanDB this is false
`spartan_sample_obj`	Where spartanDB is used, or another application that supplied parameter values as an R object created by spartan's sampling method, the name of that R object
`write_csv_file_out`	Whether results for each curve should be output to a CSV file. SpartanDB instead requires an R object containing this data, which is returned
`normalise_result`	Whether the resultant predictions should be normalised