WhatIF: R Software for Evaluating Counterfactuals
WhatIf is an R package that implements the methods for evaluating counterfactuals introduced in King and Zeng (2006a) and King and Zeng (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.
References listed on IDEAS
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- Daniel Ho & Kosuke Imai & Gary King & Elizabeth A. Stuart, . "MatchIt: Nonparametric Preprocessing for Parametric Causal Inference," Journal of Statistical Software, American Statistical Association, vol. 42(i08).
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