standardized_difference: Calculate Standardized Difference

In couplr: Optimal Pairing and Matching via Linear Assignment

Calculate Standardized Difference

Description

Computes the standardized mean difference between two groups. This is a key metric for assessing balance in matched samples.

Usage

standardized_difference(x1, x2, pooled = TRUE)

Arguments

x1	Numeric vector for group 1
x2	Numeric vector for group 2
pooled	Logical, if TRUE use pooled standard deviation (default), if FALSE use group 1 standard deviation

Details

Standardized difference = (mean1 - mean2) / pooled_sd where pooled_sd = sqrt((sd1^2 + sd2^2) / 2)

Common thresholds: less than 0.1 is excellent balance, 0.1-0.25 is good balance, 0.25-0.5 is acceptable balance, and greater than 0.5 is poor balance.

Value

Numeric value representing the standardized difference

couplr documentation built on Jan. 20, 2026, 5:07 p.m.