Package regmedint readmission to version 1.0.2 with previous version 1.0.1 dated 2024-01-12

Fri, 06 Mar 2026 02:02:00 CDT

Title: Regression-Based Causal Mediation Analysis with Interaction and Effect Modification Terms
Description: This is an extension of the regression-based causal mediation analysis first proposed by Valeri and VanderWeele (2013) <doi:10.1037/a0031034> and Valeri and VanderWeele (2015) <doi:10.1097/EDE.0000000000000253>). 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) <doi:10.1097/EDE.0000000000001643>. 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.
Author: Kazuki Yoshida [ctb, aut] , Yi Li [cre, aut] , Maya Mathur [ctb]
Maintainer: Yi Li <yi.li10@mail.mcgill.ca>

This is a re-admission after prior archival of version 1.0.1 dated 2024-01-12
Diff between regmedint versions 1.0.1 dated 2024-01-12 and 1.0.2 dated 2026-03-06

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