regmedint: Regression-Based Causal Mediation Analysis with an Interaction Term

'R' implementation of the regression-based causal mediation analysis with a treatment-mediator interaction term, as originally implemented in the 'SAS' macro by Valeri and VanderWeele (2013) <doi:10.1037/a0031034> and Valeri and VanderWeele (2015) <doi:10.1097/EDE.0000000000000253>. 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.

Package details

AuthorKazuki Yoshida [cre, aut] (<https://orcid.org/0000-0002-2030-3549>), Yi Li [ctb, aut] (<https://orcid.org/0000-0002-9359-210X>), Maya Mathur [ctb] (<https://orcid.org/0000-0001-6698-2607>)
MaintainerKazuki Yoshida <kazukiyoshida@mail.harvard.edu>
LicenseGPL-2
Version0.2.1
URL https://kaz-yos.github.io/regmedint/
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("regmedint")

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regmedint documentation built on May 12, 2021, 9:06 a.m.