G-Formula for Causal Inference via Multiple Imputation R package gFormulaMI version 1.0.3 Implements the G-Formula method for causal inference with time-varying treatments and confounders using Bayesian multiple imputation methods, as described by Bartlett et al (2025) <doi:10.1177/09622802251316971>. It creates multiple synthetic imputed datasets under treatment regimes of interest using the 'mice' package. These can then be analysed using rules developed for analysing multiple synthetic datasets. Software Depends: R (>= 2.10) Imports: mice Suggests: knitr, rmarkdown, testthat (>= 3.0.0) Jonathan Bartlett <jonathan.bartlett1@lshtm.ac.uk> Comprehensive R Archive Network (CRAN) Jonathan Bartlett [aut, cre] (ORCID: <https://orcid.org/0000-0001-7117-0195>), Camila Olarte Parra [ctb] (ORCID: <https://orcid.org/0000-0003-0263-4392>), Erik van Zwet [ctb] GPL (>= 3) 2025-11-07 application/tgz https://CRAN.R-project.org/package=gFormulaMI doi:10.32614/CRAN.package.gFormulaMI