paths: An Imputation Approach to Estimating Path-Specific CausalEffects
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: | 0.1.1 |
| Depends: | R (≥ 3.6.0) |
| Imports: | BART,boot,gbm,ggplot2,metR,pryr, stats,twang,tidyr |
| Suggests: | knitr,rmarkdown, parallel |
| Published: | 2021-06-18 |
| DOI: | 10.32614/CRAN.package.paths |
| 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,NEWS,ChangeLog |
| In views: | CausalInference,MissingData |
| CRAN checks: | paths results |
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