multibalance.plot: Multiple covariate balance assessment plot.

In TriMatch: Propensity Score Matching of Non-Binary Treatments

Multiple covariate balance assessment plot.

Description

A graphic based upon [cv.bal.psa()] function in the 'PSAgraphics' package. This graphic plots the effect sizes for multiple covariates before and after propensity score adjustment.

Usage

multibalance.plot(tpsa, tmatch, grid = TRUE, cols)

Arguments

tpsa	results of [trips()].
tmatch	results of [trimatch()].
grid	if TRUE, then a grid of three plots for each model will be displayed.
cols	character vector of covariates (i.e. column names) from the original data to include in the plot. By default all covariates used in the logistic regression model are used.

Value

a ggplot2 figure.

TriMatch documentation built on April 11, 2025, 6:16 p.m.