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: | 1.0.1 |
Depends: | R (≥ 2.10) |
Imports: | mice |
Suggests: | knitr, rmarkdown, testthat (≥ 3.0.0) |
Published: | 2025-05-13 |
Author: | Jonathan Bartlett |
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 |
Reference manual: | gFormulaMI.pdf |
Vignettes: |
gFormulaMI - G-formula for Causal Inference via Multiple Imputation (source, R code) |
Package source: | gFormulaMI_1.0.1.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 |
Old sources: | gFormulaMI archive |
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