causalsens: A Selection Bias Approach to Sensitivity Analysis for Causal Effects

Are your results teetering?

causalsens is an R package to implement the selection bias approach to sensitivity analysis for causal effects as introduced in Blackwell (2014). This approach allows researchers to evaulate the effect of unmeasured confounders on their estimated effects varying both the strength and direction of the confounding.