Published by the Foundation for Open Access Statistics Editors-in-chief: Bettina Grün, Torsten Hothorn, Rebecca Killick, Edzer Pebesma, Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
Authors: Heather Stoll, Gary King, Langche Zeng
Title: WhatIF: R Software for Evaluating Counterfactuals
Abstract: 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.

Page views:: 7588. Submitted: 2005-11-09. Published: 2005-12-10.
Paper: WhatIF: R Software for Evaluating Counterfactuals     Download PDF (Downloads: 8091)
WhatIf_1.4-2.tar.gz: R source package Download (Downloads: 1394; 17KB)

DOI: 10.18637/jss.v015.i04

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Paper: Creative Commons Attribution 3.0 Unported License
Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license.