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.

Version: 0.2.1
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
Published: 2021-05-12
Author: Kazuki Yoshida ORCID iD [cre, aut], Yi Li ORCID iD [ctb, aut], Maya Mathur ORCID iD [ctb]
Maintainer: Kazuki Yoshida <kazukiyoshida at mail.harvard.edu>
BugReports: https://github.com/kaz-yos/regmedint/issues
License: GPL-2
URL: https://kaz-yos.github.io/regmedint/
NeedsCompilation: no
Materials: NEWS
CRAN checks: regmedint results

Downloads:

Reference manual: regmedint.pdf
Vignettes: Introduction to user interface functions
Implementation of formulas
Using bootstrapping with regemedint
Using multiple imputation with regmedint
Package source: regmedint_0.2.1.tar.gz
Windows binaries: r-devel: regmedint_0.2.1.zip, r-release: regmedint_0.2.1.zip, r-oldrel: regmedint_0.2.1.zip
macOS binaries: r-release (arm64): regmedint_0.2.1.tgz, r-release (x86_64): regmedint_0.2.1.tgz, r-oldrel: regmedint_0.2.1.tgz
Old sources: regmedint archive

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