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externally validate the multiple plp models across new datasets

Source: R/RunMultiplePlp.R
validateMultiplePlp.Rd

This function loads all the models in a multiple plp analysis folder and validates the models on new data

Usage

validateMultiplePlp(
  analysesLocation,
  validationDatabaseDetails,
  validationRestrictPlpDataSettings = createRestrictPlpDataSettings(),
  recalibrate = NULL,
  cohortDefinitions = NULL,
  saveDirectory = NULL
)

Arguments

analysesLocation

The location where the multiple plp analyses are

validationDatabaseDetails

A single or list of validation database settings created using createDatabaseDetails()

validationRestrictPlpDataSettings

The settings specifying the extra restriction settings when extracting the data created using createRestrictPlpDataSettings().

recalibrate

A vector of recalibration methods (currently supports 'RecalibrationintheLarge' and/or 'weakRecalibration')

cohortDefinitions

A list of cohortDefinitions

saveDirectory

The location to save to validation results

Value

Nothing. The results are saved to the saveDirectory

Details

Users need to input a location where the results of the multiple plp analyses are found and the connection and database settings for the new data

Examples