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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, 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
DOI: 10.32614/CRAN.package.gFormulaMI
Author: Jonathan Bartlett ORCID iD [aut, cre], Camila Olarte Parra ORCID 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
CRAN checks: gFormulaMI results

Documentation:

Reference manual: gFormulaMI.pdf
Vignettes: gFormulaMI

Downloads:

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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=gFormulaMI to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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