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 Frölich (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 Frölich and Huber (2017) <doi:10.1111/rssb.12232>.
| Version: | 0.1.0 |
| Depends: | mvtnorm, np |
| Suggests: | knitr, rmarkdown |
| Published: | 2018-02-23 |
| Author: | Hugo Bodory and Martin Huber |
| Maintainer: | Hugo Bodory <hugo.bodory at unifr.ch> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | no |
| CRAN checks: | causalweight results |
| Reference manual: | causalweight.pdf |
| Vignettes: |
The causalweight Package |
| Package source: | causalweight_0.1.0.tar.gz |
| Windows binaries: | r-devel: causalweight_0.1.0.zip, r-release: not available, r-oldrel: not available |
| OS X El Capitan binaries: | r-release: causalweight_0.1.0.tgz |
| OS X Mavericks binaries: | r-oldrel: not available |
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