createRunPlpAnalysesArgs: Create a parameter object for the function runPlp
In OHDSI/RiskStratifiedEstimation: Risk Stratified Effect Estimation

createRunPlpAnalysesArgs

R Documentation

Create a parameter object for the function runPlp

Description

Create a parameter object for the function runPlp

Usage

createRunPlpAnalysesArgs(
  outcomeId = NULL,
  splitSettings = PatientLevelPrediction::createDefaultSplitSetting(),
  sampleSettings = PatientLevelPrediction::createSampleSettings(),
 
    featureEngineeringSettings = PatientLevelPrediction::createFeatureEngineeringSettings(),
  preprocessSettings = PatientLevelPrediction::createPreprocessSettings(),
  modelSettings = PatientLevelPrediction::setLassoLogisticRegression(),
  logSettings = PatientLevelPrediction::createLogSettings(),
  executeSettings = PatientLevelPrediction::createDefaultExecuteSettings(),
  matchingSettings = CohortMethod::createMatchOnPsArgs(),
  timepoint = NULL
)

Arguments

`outcomeId`	The outcomeId for the prediction.
`splitSettings`	An object of type splitSettings that specifies how to split the data into train/validation/test. The default settings can be created using `createDefaultSplitSetting`
`sampleSettings`	An object of type `sampleSettings` that specifies any under/over sampling to be done. Should be created with `createSampleSettings`
`featureEngineeringSettings`	An object of `featureEngineeringSettings` specifying any feature engineering to be learned (using the train data)
`preprocessSettings`	An object of `preprocessSettings`. This setting specifies the minimum fraction of target population who must have a covariate for it to be included in the model training and whether to normalise the covariates before training. Should be created with `createPreprocessSettings`.
`modelSettings`	An object of class `modelSettings`.
`logSettings`	An object of `logSettings` created using `createLogSettings` specifying how the logging is done.
`executeSettings`	An object of type `executeSettings` specifying which parts of the analysis to run. Should be created using `createExecuteSettings`.
`matchingSettings`	The settings for the construction of the population on which the prediction model will be developed.
`timepoint`	The timepoint to predict risk (survival models only)