SBdecomp is an R package that uses parametric and nonparametric methods to quantify the proportion of the estimated selection bias (SB) explained by each observed confounder when estimating propensity score weighted treatment effects.
More details on the method are available in: Parast, L and Griffin, BA (2020). "Quantifying the Bias due to Observed Individual Confounders in Causal Treatment Effect Estimates". Statistics in Medicine, 39(18): 2447- 2476, doi:10.1002/sim.8549
Go here to view a tutorial for this package: SBdecomp Tutorial. We have a Shiny App here: SBdecomp Shiny App.