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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 |
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 |
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.