createValidationDesign - Define the validation design for external validation

Usage

createValidationDesign(
  targetId,
  outcomeId,
  populationSettings = NULL,
  restrictPlpDataSettings = NULL,
  plpModelList,
  recalibrate = NULL,
  runCovariateSummary = TRUE
)

Arguments

targetId: The targetId of the target cohort to validate on
outcomeId: The outcomeId of the outcome cohort to validate on
populationSettings: A list of population restriction settings created by createPopulationSettings. Default is NULL and then this is taken from the model
restrictPlpDataSettings: A list of plpData restriction settings created by createRestrictPlpDataSettings. Default is NULL and then this is taken from the model.
plpModelList: A list of plpModels objects created by runPlp or a path to such objects
recalibrate: A vector of characters specifying the recalibration method to apply,
runCovariateSummary: whether to run the covariate summary for the validation data

Value

A validation design object of class validationDesign or a list of such objects

Examples

# create a validation design for targetId 1 and outcomeId 2 one l1 model and 
# one gradient boosting model
createValidationDesign(1, 2, plpModelList = list(
"pathToL1model", "PathToGBMModel"))
#> $targetId
#> [1] 1
#> 
#> $outcomeId
#> [1] 2
#> 
#> $populationSettings
#> NULL
#> 
#> $plpModelList
#> $plpModelList[[1]]
#> [1] "pathToL1model"
#> 
#> $plpModelList[[2]]
#> [1] "PathToGBMModel"
#> 
#> 
#> $restrictPlpDataSettings
#> NULL
#> 
#> $recalibrate
#> NULL
#> 
#> $runCovariateSummary
#> [1] TRUE
#> 
#> attr(,"class")
#> [1] "validationDesign"