evf: Calculate empirical value functions

In jitonglou/MultiMlearn: Statistical Learning Methods for Optimizing Individualized Treatment Rules

Description

This function calculates the empirical value functions as defined in equation (8) in Section 2.2 of the manuscript.

Usage

evf(data, pred, propensity)

Arguments

data	a data frame containing the ID (ID), outcome (reward), and observed treatment (treatment) information of subjects.
pred	a matrix with K(K-1)/2 columns, where K is the total number of treatments. Each column is the recommendations between two treatments for all subjects.
propensity	a data frame with K columns, where K is the total number of treatments. The kth column is the propensity scores of assigning the kth treatment to subjects.

Value

A scalar as defined in equation (8) in Section 2.2 of the manuscript.

jitonglou/MultiMlearn documentation built on Dec. 21, 2021, 12:08 a.m.