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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 [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 |
Reference manual: | gFormulaMI.pdf |
Vignettes: |
gFormulaMI |
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 |
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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.