Evaluate ITR

Usage

evaluate_itr(
  fit = NULL,
  user_itr = NULL,
  outcome = c(),
  treatment = c(),
  data = list(),
  budget = 1,
  ngates = 5,
  ...
)

fit: Fitted model. Usually an output from estimate_itr
user_itr: A user-defined function to create an ITR. The function should take the data as input and return an unit-level continuous score for treatment assignment. We assume those that have score less than 0 should not have treatment. The default is NULL, which means the ITR will be estimated from the estimate_itr.
outcome: A character string of the outcome variable name.
treatment: A character string of the treatment variable name.
data: A data frame containing the variables specified in outcome, treatment, and tau.
budget: The maximum percentage of population that can be treated under the budget constraint.
ngates: The number of gates to use for the ITR. The default is 5. A user-defined function to create an ITR. The function should take the data as input and return an ITR. The output is a vector of the unit-level binary treatment that would have been assigned by the individualized treatment rule. The default is NULL, which means the ITR will be estimated from the estimate_itr. See ?evaluate_itr for an example.
...: Further arguments passed to the function.

An object of itr class