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paths  

An Imputation Approach to Estimating Path-Specific Causal Effects
View on CRAN: Click here


Download and install paths package within the R console
Install from CRAN:
install.packages("paths")

Install from Github:
library("remotes")
install_github("cran/paths")

Install by package version:
library("remotes")
install_version("paths", "0.1.1")



Attach the package and use:
library("paths")
Maintained by
Minh Trinh
[Scholar Profile | Author Map]
First Published: 2020-05-06
Latest Update: 2021-06-18
Description:
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 ). 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.
How to cite:
Minh Trinh (2020). paths: An Imputation Approach to Estimating Path-Specific Causal Effects. R package version 0.1.1, https://cran.r-project.org/web/packages/paths. Accessed 05 May. 2025.
Previous versions and publish date:
0.1.0 (2020-05-06 22:10)
Other packages that cited paths R package
View paths citation profile
Other R packages that paths depends, imports, suggests or enhances
Complete documentation for paths
Functions, R codes and Examples using the paths R package
Some associated functions: paths-package . paths . plot.paths . plot.sens . pred . sens . summary.paths . tatar . welfare . 
Some associated R codes: data.R . paths-package.R . paths.R . paths_fit.R . plot.paths.R . plot.sens.R . pred.R . print.paths.R . sens.R . utils.R .  Full paths package functions and examples
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