paths: An Imputation Approach to Estimating Path-Specific Causal
Effects
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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