mean_balance {causalOT}

Standardized absolute mean difference calculations

Description

This function will calculate the difference in means between treatment groups standardized by the pooled standard-deviation of the respective covariates.

Usage

mean_balance(x = NULL, z = NULL, weights = NULL, ...)

Arguments

x

Either a matrix, an object of class dataHolder, or an object of class DataSim

z

A integer vector denoting the treatments of each observations. Can be null if x is a DataSim object or already of class dataHolder.

weights

An object of class causalWeights.

...

Not used at this time.

Value

A vector of mean balances

Examples

n <- 100
p <- 6
x <- matrix(stats::rnorm(n * p), n, p)
z <- stats::rbinom(n, 1, 0.5)
weights <- calc_weight(x = x, z = z, estimand = "ATT", method = "Logistic")
mb <- mean_balance(x = x, z = z, weights = weights)
print(mb)