createStratifiedImputationSettings {PatientLevelPrediction} | R Documentation |
Create the settings for using stratified imputation.
Description
Create the settings for using stratified imputation.
Usage
createStratifiedImputationSettings(covariateId, ageSplits = NULL)
Arguments
covariateId |
The covariateId that needs imputed values |
ageSplits |
A vector of age splits in years to create age groups |
Details
Returns an object of class featureEngineeringSettings
that specifies
how to do stratified imputation. This function splits the covariate into
age groups and fits splines to the covariate within each age group. The spline
values are then used to impute missing values.
Value
An object of class featureEngineeringSettings
Examples
# create a stratified imputation settings for covariate 1050 with age splits
# at 50 and 70
stratifiedImputationSettings <-
createStratifiedImputationSettings(covariateId = 1050, ageSplits = c(50, 70))
[Package PatientLevelPrediction version 6.4.1 Index]