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regmedint  

Regression-Based Causal Mediation Analysis with Interaction and Effect Modification Terms
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("regmedint", "1.0.2")



Attach the package and use:
library("regmedint")
Maintained by
Yi Li
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-05-11
Latest Update: 2024-01-13
Description:
This is an extension of the regression-based causal mediation analysis first proposed by Valeri and VanderWeele (2013) and Valeri and VanderWeele (2015) ). It supports including effect measure modification by covariates(treatment-covariate and mediator-covariate product terms in mediator and outcome regression models) as proposed by Li et al (2023) . It also accommodates the original 'SAS' macro and 'PROC CAUSALMED' procedure in 'SAS' when there is no effect measure modification. Linear and logistic models are supported for the mediator model. Linear, logistic, loglinear, Poisson, negative binomial, Cox, and accelerated failure time (exponential and Weibull) models are supported for the outcome model.
How to cite:
Yi Li (2020). regmedint: Regression-Based Causal Mediation Analysis with Interaction and Effect Modification Terms. R package version 1.0.2, https://cran.r-project.org/web/packages/regmedint. Accessed 25 Jun. 2026.
Previous versions and publish date:
0.1.0 (2020-05-11 13:00), 0.2.0 (2020-11-16 13:30), 0.2.1 (2021-05-12 06:30), 1.0.0 (2022-04-06 22:20), 1.0.1 (2024-01-13 01:50)
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