The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
We implement causal mediation analysis using the methods proposed by Hong (2010) and Hong, Deutsch & Hill (2015) <doi:10.3102/1076998615583902>. It allows the estimation and hypothesis testing of causal mediation effects through ratio of mediator probability weights (RMPW). This strategy conveniently relaxes the assumption of no treatment-by-mediator interaction while greatly simplifying the outcome model specification without invoking strong distributional assumptions. We also implement a sensitivity analysis by extending the RMPW method to assess potential bias in the presence of omitted pretreatment or posttreatment covariates. The sensitivity analysis strategy was proposed by Hong, Qin, and Yang (2018) <doi:10.3102/1076998617749561>.
| Version: | 0.0.5 |
| Depends: | R (≥ 3.3.0), gtools, MASS |
| Published: | 2024-03-06 |
| DOI: | 10.32614/CRAN.package.rmpw |
| Author: | Xu Qin, Guanglei Hong, and Fan Yang |
| Maintainer: | Xu Qin <xuqin at uchicago.edu> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| CRAN checks: | rmpw results |
| Reference manual: | rmpw.pdf |
| Package source: | rmpw_0.0.5.tar.gz |
| Windows binaries: | r-devel: rmpw_0.0.5.zip, r-release: rmpw_0.0.5.zip, r-oldrel: rmpw_0.0.5.zip |
| macOS binaries: | r-release (arm64): rmpw_0.0.5.tgz, r-oldrel (arm64): rmpw_0.0.5.tgz, r-release (x86_64): rmpw_0.0.5.tgz, r-oldrel (x86_64): rmpw_0.0.5.tgz |
| Old sources: | rmpw archive |
Please use the canonical form https://CRAN.R-project.org/package=rmpw to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.