emulate_lhc_sampled_parameters: Emulate simulations for a set of latin-hypercube generated...
In spartan: Simulation Parameter Analysis R Toolkit ApplicatioN: 'spartan'

View source: R/emulation_sensitivity_analysis.R

This method runs an ensemble for all parameter value sets specified in a CSV file generated from spartan latin-hypercube sampling techniques. The output is a CSV file that can then be analysed using the spartan analysis methods detailed in Technique 3.

emulate_lhc_sampled_parameters(filepath, surrogateModel, parameters,
  measures, measure_scale, param_file = NULL, dataset = NULL,
  ensemble_set = TRUE, normalise = FALSE, timepoint = NULL,
  timepointscale = NULL, write_csv_files = TRUE,
  graph_results = TRUE)

`filepath`	Path to where the analysis output should be stored
`surrogateModel`	Ensemble or emulator to use to emulate the simulation responses for those sets
`parameters`	Simulation parameter names
`measures`	Simulation output response names
`measure_scale`	Scale of each of the simulation responses
`param_file`	Name of the CSV file generated by spartan (or of) parameter values, separated in columns - if reading these in from a file
`dataset`	Name of the R dataset in the environment that contains the parameter sets (the tutorial one is emulated_lhc_values)
`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 file 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
`timepointscale`	Scale of the timepoints, if being used
`write_csv_files`	Whether output should be written to CSV file. Used with spartanDB
`graph_results`	Whether plots should be produced for this analysis