WhatIf is an R package that implements the methods for evaluating counterfactuals introduced in King and Zong (2006a) and King and Zong (2006b). It offers easy-to-use techniques for assessing a counterfactual's model dependence without having to conduct sensitivity testing over specified classes of models. These same methods can be used to approximate the common support of the treatment and control groups in causal inference.
CITATION STYLE
Stoll, H., King, G., & Zeng, L. (2006). WhatIf: R software for evaluating counterfactuals. Journal of Statistical Software. American Statistical Association. https://doi.org/10.18637/jss.v015.i04
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