gps_prep: This function prepares the (generalized) propensity scores...

In MCKnaus/dmlmt: Double Machine Learning for Multiple Treatments

Description

This function prepares the (generalized) propensity scores and checks the common support after variable selection.

Usage

gps_prep(x, t, nm_list, cs = TRUE, q = 1, print = TRUE)

Arguments

x	Matrix of covariates (N x p matrix)
t	Matrix of binary treament indicators (N x # of treatments matrix) each column contains a binary indicator for each tratment
nm_list	List with length = # of treatments containing list with the selected variable names for each treatment level
cs	If TRUE, common support will be checked
q	Quantile used for enforcing common support
print	If TRUE, descriptives for p-scores and common support shown

Value

gps_prep returns a list containing a N x # of treatments matrix with generalized propensity scores (p) and a boolean indicating common and a boolean indicating common support (cs).

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