In causal mediation analysis with multiple causally ordered mediators, a set of path-specific effects are identified under standard ignorability assumptions. This package implements an imputation approach to estimating these effects along with a set of bias formulas for conducting sensitivity analysis (Zhou and Yamamoto <doi:10.31235/osf.io/2rx6p>). It contains two main functions: paths() for estimating path-specific effects and sens() for conducting sensitivity analysis. Estimation uncertainty is quantified using the nonparametric bootstrap.
| Version: | 0.1.0 |
| Depends: | R (≥ 3.6.0) |
| Imports: | BART, boot, gbm, ggplot2, metR, parallel, pryr, stats, twang, tidyr |
| Suggests: | knitr, rmarkdown |
| Published: | 2020-05-06 |
| Author: | Minh Trinh [cre], Teppei Yamamoto [aut], Xiang Zhou [aut] |
| Maintainer: | Minh Trinh <mdtrinh at mit.edu> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | paths results |
| Reference manual: | paths.pdf |
| Package source: | paths_0.1.0.tar.gz |
| Windows binaries: | r-devel: paths_0.1.0.zip, r-release: paths_0.1.0.zip, r-oldrel: paths_0.1.0.zip |
| macOS binaries: | r-release: paths_0.1.0.tgz, r-oldrel: paths_0.1.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=paths to link to this page.