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gFormulaMI: G-Formula for Causal Inference via Multiple Imputation

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.

Version:1.0.3
Depends:R (≥ 2.10)
Imports:mice
Suggests:knitr,rmarkdown,testthat (≥ 3.0.0)
Published:2025-11-07
DOI:10.32614/CRAN.package.gFormulaMI
Author:Jonathan BartlettORCID iD [aut, cre], Camila Olarte ParraORCID iD [ctb], Erik van Zwet [ctb]
Maintainer:Jonathan Bartlett <jonathan.bartlett1 at lshtm.ac.uk>
License:GPL (≥ 3)
URL:https://jwb133.github.io/gFormulaMI/
NeedsCompilation:no
Materials:README,NEWS
CRAN checks:gFormulaMI results

Documentation:

Reference manual:gFormulaMI.html ,gFormulaMI.pdf
Vignettes:gFormulaMI - G-formula for Causal Inference via Multiple Imputation (source,R code)

Downloads:

Package source: gFormulaMI_1.0.3.tar.gz
Windows binaries: r-devel:gFormulaMI_1.0.3.zip, r-release:gFormulaMI_1.0.3.zip, r-oldrel:gFormulaMI_1.0.3.zip
macOS binaries: r-release (arm64):gFormulaMI_1.0.3.tgz, r-oldrel (arm64):gFormulaMI_1.0.3.tgz, r-release (x86_64):gFormulaMI_1.0.3.tgz, r-oldrel (x86_64):gFormulaMI_1.0.3.tgz
Old sources: gFormulaMI archive

Linking:

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