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>.

Version: 0.1.2
Depends: mvtnorm, np
Suggests: knitr, rmarkdown
Published: 2018-12-01
Author: Hugo Bodory and Martin Huber
Maintainer: Hugo Bodory <hugo.bodory at>
License: MIT + file LICENSE
NeedsCompilation: no
CRAN checks: causalweight results


Reference manual: causalweight.pdf
Vignettes: The causalweight Package
Package source: causalweight_0.1.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X binaries: r-release: causalweight_0.1.2.tgz, r-oldrel: causalweight_0.1.2.tgz
Old sources: causalweight archive


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