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
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
CRAN checks: paths results

Documentation:

Reference manual: paths.pdf

Downloads:

Package source: paths_0.1.1.tar.gz
Windows binaries: r-devel: paths_0.1.1.zip, r-release: paths_0.1.1.zip, r-oldrel: paths_0.1.1.zip
macOS binaries: r-release (arm64): paths_0.1.1.tgz, r-release (x86_64): paths_0.1.1.tgz, r-oldrel: paths_0.1.1.tgz
Old sources: paths archive

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