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.
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.