evaluate_itr: Evaluate ITR

In evalITR: Evaluating Individualized Treatment Rules

Evaluate ITR

Description

Evaluate ITR

Usage

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

Arguments

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.

Value

An object of itr class

evalITR documentation built on Aug. 26, 2023, 1:08 a.m.