causalweight: Estimation Methods for Causal Inference Based on Inverse Probability Weighting

Various estimation methods for causal inference based on inverse probability weighting. Specifically, the package includes methods for estimating average treatment effects as well as direct and indirect effects in causal mediation analysis. The models refer to the studies of Froelich (2007) <doi:10.1016/j.jeconom.2006.06.004>, Huber (2012) <doi:10.3102/1076998611411917>, Huber (2014) <doi:10.1080/07474938.2013.806197>, Huber (2014) <doi:10.1002/jae.2341>, and Froelich and Huber (2017) <doi:10.1111/rssb.12232>.

Package details

AuthorHugo Bodory and Martin Huber
MaintainerHugo Bodory <[email protected]>
LicenseMIT + file LICENSE
Version0.1.2
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("causalweight")

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causalweight documentation built on Dec. 2, 2018, 1:03 a.m.