emulate_efast_sampled_parameters: Emulate simulations for a set of eFAST generated parameter...

In spartan: Simulation Parameter Analysis R Toolkit ApplicatioN: 'spartan'

Description

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.

Usage

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)

Arguments

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

spartan documentation built on May 2, 2019, 9:39 a.m.