MatchForTree: Matching Function

In AshwiniKV/TEHTree: TEHTree: Treatment effect heterogeneity tree

Description

This function is used for matching with replacement and determines the treatment effect and relevant covariates for the matched pairs.

Usage

MatchForTree(Y, Z, X, version = "prognostic")

Arguments

Y	response vector
Z	treatment indicator
X	covariate matrix
version	version type of matching to be performed

Examples

N<-2000
numx <- 5
alpha <-0.8
theta<-0.8
beta<- c(1,.8,.6,.4,.2)
gamma <- 1
Z <- rep(c(0, 1), each = N/2)
sigma <- diag(numx)
X.i <- mvrnorm(N,mu=rep(0,numx),Sigma=sigma)
W <- Z * ifelse(X.i[,1] > 0, 1, 0)
mu <- alpha + theta*Z + X.i %*% beta + W * gamma
Y <- rnorm(N, mean=mu)

MatchForTree(Y, Z, X.i)

AshwiniKV/TEHTree documentation built on Sept. 15, 2021, 11:21 p.m.