Train various models using a default parameter gird search or user specified parameters
recalibratePlpRefit(plpModel, newPopulation, newData)Arguments
- plpModel
The trained plpModel (runPlp$model)
- newPopulation
The population created using createStudyPopulation() who will have their risks predicted
- newData
An object of type
plpData- the patient level prediction data extracted from the CDM.
Value
An object of class runPlp that is recalibrated on the new data
Details
The user can define the machine learning model to train (regularised logistic regression, random forest, gradient boosting machine, neural network and )