PatientLevelPrediction (version 6.4.1)

createValidationDesign: createValidationDesign - Define the validation design for external validation

Description

createValidationDesign - Define the validation design for external validation

Usage

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

Value

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

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

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"))