estimate_cate {CRE}R Documentation

Estimate the Conditional Average Treatment Effect

Description

Estimates the Conditional Average Treatment Effect (CATE) by linearly modeling the Individual Treatment Effect by a set of rules.

Usage

estimate_cate(rules_matrix, rules_explicit, ite, B = 1, subsample = 1)

Arguments

rules_matrix

A rules matrix.

rules_explicit

A list of select rules in terms of covariate names.

ite

The estimated ITEs.

B

The number of bootstrap samples for uncertainty quantification in estimation.

subsample

The bootstrap ratio subsample for uncertainty quantification in estimation.

Value

A list with 2 elements: summary: A data frame summarizing the CATE linear decomposition:


[Package CRE version 0.2.7 Index]