regmedint: Regression-Based Causal Mediation Analysis with Interaction and Effect Modification Terms

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). 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.

Version: 1.0.0
Depends: R (≥ 2.10)
Imports: Deriv, MASS, Matrix, assertthat, sandwich, survival
Suggests: boot, furrr, future, geepack, knitr, mice, mitools, modelr, purrr, rlang, rmarkdown, stringr, testthat, tidyverse, magic, formattable, kableExtra
Published: 2022-04-06
Author: Kazuki Yoshida ORCID iD [cre, aut], Yi Li ORCID iD [ctb, aut], Maya Mathur ORCID iD [ctb]
Maintainer: Kazuki Yoshida <kazukiyoshida at>
License: GPL-2
NeedsCompilation: no
Materials: NEWS
CRAN checks: regmedint results


Reference manual: regmedint.pdf
Vignettes: Introduction to user interface functions
Implementation of formulas
Using bootstrapping with regemedint
Using multiple imputation with regmedint
Implementation of extended formulas when there are effect measure modifiers
Validation of extended formuals with effect modification using bootstrap


Package source: regmedint_1.0.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): regmedint_1.0.0.tgz, r-oldrel (arm64): regmedint_1.0.0.tgz, r-release (x86_64): regmedint_1.0.0.tgz, r-oldrel (x86_64): regmedint_1.0.0.tgz
Old sources: regmedint archive


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