PO_dmlmt: This function calculates the potential outcomes for all...

In MCKnaus/dmlmt: Double Machine Learning for Multiple Treatments

Description

This function calculates the potential outcomes for all treatment levels.

Usage

PO_dmlmt(t, y, y_mat, p_mat, cs_i = NULL, cl = NULL, print = TRUE)

Arguments

t	Matrix of binary treament indicators (N x # of treatments matrix) each column contains a binary indicator for each tratment
y	Vector of outcomes
y_mat	N x # of treatments matrix with fitted outcome values
p_mat	N x # of treatments matrix with (generalized) propensity scores
cs_i	If not NULL, boolean vector to indicate that observation is on support
cl	If not NULL, vector with cluster variables
print	If TRUE, print results

Value

PO_dmlmt returns a list containing the results and a matrix with the individual values of the effcicient score (mu).

MCKnaus/dmlmt documentation built on Dec. 4, 2020, 9:48 a.m.