Package: gFormulaMI 1.0.1

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) <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.

Authors:Jonathan Bartlett [aut, cre], Camila Olarte Parra [ctb], Erik van Zwet [ctb]

gFormulaMI_1.0.1.tar.gz
gFormulaMI_1.0.1.zip(r-4.5)gFormulaMI_1.0.1.zip(r-4.4)gFormulaMI_1.0.1.zip(r-4.3)
gFormulaMI_1.0.1.tgz(r-4.4-any)gFormulaMI_1.0.1.tgz(r-4.3-any)
gFormulaMI_1.0.1.tar.gz(r-4.5-noble)gFormulaMI_1.0.1.tar.gz(r-4.4-noble)
gFormulaMI_1.0.1.tgz(r-4.4-emscripten)gFormulaMI_1.0.1.tgz(r-4.3-emscripten)
gFormulaMI.pdf |gFormulaMI.html✨
gFormulaMI/json (API)

Peer review:

Bug tracker:https://github.com/jwb133/gformulami/issues

On CRAN:

2 exports 7 stars 1.32 score 60 dependencies 5 scripts 159 downloads

Last updated 7 months agofrom:82d8ca6c05. Checks:OK: 1 WARNING: 6. Indexed: yes.

Exports:gFormulaImputesyntheticPool

Dependencies:backportsbitbit64bootbroomclicliprcodetoolscpp11crayondplyrfansiforcatsforeachgenericsglmnetgluehavenhmsiteratorsjomolatticelifecyclelme4magrittrMASSMatrixmiceminqamitmlnlmenloptrnnetnumDerivordinalpanpillarpkgconfigprettyunitsprogresspurrrR6RcppRcppEigenreadrrlangrpartshapestringistringrsurvivaltibbletidyrtidyselecttzdbucminfutf8vctrsvroomwithr