multibalance.plot: Multiple covariate balance assessment plot.
In TriMatch: Propensity Score Matching of Non-Binary Treatments

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.

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

`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.