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intmed  

Mediation Analysis using Interventional Effects
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("intmed", "0.1.2")



Attach the package and use:
library("intmed")
Maintained by
Gary Chan
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-03-01
Latest Update: 2020-08-27
Description:
Implementing the interventional effects for mediation analysis for up to 3 mediators. The methods used are based on VanderWeele, Vansteelandt and Robins (2014) , Vansteelandt and Daniel (2017) and Chan and Leung (2020; unpublished manuscript, available on request from the author of this package). Linear regression, logistic regression and Poisson regression are used for continuous, binary and count mediator/outcome variables respectively.
How to cite:
Gary Chan (2020). intmed: Mediation Analysis using Interventional Effects. R package version 0.1.2, https://cran.r-project.org/web/packages/intmed. Accessed 07 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:50), 0.1.1 (2020-03-01 14:00)
Other packages that cited intmed R package
View intmed citation profile
Other R packages that intmed depends, imports, suggests or enhances
Complete documentation for intmed
Functions, R codes and Examples using the intmed R package
Some associated functions: intmed . mediate . sim_data . substance . 
Some associated R codes: descriptive.R . gen_html_results.R . impute.R . intmed.R . mediate.R . sim_data.R . substance.R . utility_function.R .  Full intmed package functions and examples
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