View source: R/profile_estimation.r
| RunProfilePertubation | R Documentation | 
Execute an NLME profile perturbation
RunProfilePertubation(
  hostPlatform,
  dataset,
  params,
  profiles,
  sortColumns,
  scenarios = list(),
  runInBackground = FALSE,
  workingDir = NULL
)
| hostPlatform | How to execute the run(NlmeParallelHost) | 
| dataset | Dataset and model information(NlmeDataset) | 
| params | Engine parameters(NlmeEngineExtraParams) | 
| profiles | Profiles to perturbate(ProfileParameters) | 
| sortColumns | Optional list of columns to sort and fit(SortColumns) | 
| scenarios | Optional list of scenarios to fit(NlmeScenario) | 
| runInBackground | TRUE will run in background and return prompt(Bool) | 
| workingDir | Directory in which to run the job. Current working directory is used if  | 
Object of class ProfileNlmeJob
  dataset <- NlmeDataset()
  params <- NlmeEngineExtraParams(
    method = 3,
    num_iterations = 1000
  )
  host <- hostParams(parallelMethod = "None",
                    hostName = "local",
                    numCores = 1)
  sortColumns <- SortColumns("")
  profile1 <- ProfileVar("tvV", 9.548, "-2,-1,0,1,2")
  profile2 <- ProfileVar("tvCl", 0.919, "-0.5,0,1.5")
  profiles <- ProfileParameters("USE_DELTA", c(profile1, profile2))
  # dataFile, colDefFile, modelFile are assumed to be written to the working directory
  job <- RunProfilePertubation(host, dataset, params, profiles, sortColumns, scenarios)
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