induce_informative_missing: Internal function: induce informative missing to sample data...

In AutoScore: An Interpretable Machine Learning-Based Automatic Clinical Score Generator

Internal function: induce informative missing to sample data in the package to demonstrate how AutoScore handles missing as a separate category

Description

Internal function: induce informative missing to sample data in the package to demonstrate how AutoScore handles missing as a separate category

Usage

induce_informative_missing(
  df,
  vars_to_induce = c("Lab_A", "Vital_A"),
  prop_missing = 0.4
)

Arguments

df	A data.frame of sample data.
vars_to_induce	Names of variables to induce informative missing in. Default is c("Lab_A", "Vital_A").
prop_missing	Proportion of missing to induce for each vars_to_induce. Can be a single value for a common proportion for all variables (default is 0.4), or a vector with same length as vars_to_induce.

Details

Assume subjects with normal values (i.e., values close to the median) are more likely to not have measurements.

Value

Returns df with selected columns modified to have missing.

AutoScore documentation built on Oct. 16, 2022, 1:06 a.m.