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, Olarte Parra and Daniel (2023) <doi:10.48550/arXiv.2301.12026>. 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:	1.0.0
Depends:	R (≥ 2.10)
Imports:	mice
Suggests:	knitr, rmarkdown, testthat (≥ 3.0.0)
Published:	2023-05-25
Author:	Jonathan Bartlett [aut, cre], Camila Olarte Parra [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
CRAN checks:	gFormulaMI results

Documentation:

Reference manual:	gFormulaMI.pdf
Vignettes:	gFormulaMI

Downloads:

Package source:	gFormulaMI_1.0.0.tar.gz
Windows binaries:	r-prerel: gFormulaMI_1.0.0.zip, r-release: gFormulaMI_1.0.0.zip, r-oldrel: gFormulaMI_1.0.0.zip
macOS binaries:	r-prerel (arm64): gFormulaMI_1.0.0.tgz, r-release (arm64): gFormulaMI_1.0.0.tgz, r-oldrel (arm64): gFormulaMI_1.0.0.tgz, r-prerel (x86_64): gFormulaMI_1.0.0.tgz, r-release (x86_64): gFormulaMI_1.0.0.tgz

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