Package: regmedint Title: Regression-Based Causal Mediation Analysis with Interaction and Effect Modification Terms Version: 1.0.1 Authors@R: c( person("Kazuki", "Yoshida", email = "kazukiyoshida@mail.harvard.edu", role = c("ctb","aut"), comment = c(ORCID = "0000-0002-2030-3549")), person("Yi", "Li", email = "yi.li10@mail.mcgill.ca", role = c("cre","aut"), comment = c(ORCID = "0000-0002-9359-210X")), person("Maya", "Mathur", role = c("ctb"), comment = c(ORCID = "0000-0001-6698-2607")) ) 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. License: GPL-2 Encoding: UTF-8 LazyData: true 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 RoxygenNote: 7.3.3 VignetteBuilder: knitr URL: https://kaz-yos.github.io/regmedint/ BugReports: https://github.com/kaz-yos/regmedint/issues Depends: R (>= 2.10) Repository: https://kaz-yos.r-universe.dev Date/Publication: 2026-03-06 04:23:06 UTC RemoteUrl: https://github.com/kaz-yos/regmedint RemoteRef: HEAD RemoteSha: 78a14701a49954aabd236810339a6a77850c01c9 NeedsCompilation: no Packaged: 2026-07-05 08:10:53 UTC; root Author: Kazuki Yoshida [ctb, aut] (ORCID: ), Yi Li [cre, aut] (ORCID: ), Maya Mathur [ctb] (ORCID: ) Maintainer: Yi Li