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.
- Version1.0.0
- R version≥ 2.10
- LicenseGPL (≥ 3)
- Needs compilation?No
- Last release05/25/2023
Documentation
Team
Jonathan Bartlett
MaintainerShow author detailsCamila Olarte Parra
Erik van Zwet
Show author detailsRolesContributor
Insights
Last 30 days
This package has been downloaded 164 times in the last 30 days. Enough downloads to make a small wave in the niche community. The curiosity is spreading! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 5 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 2,084 times in the last 365 days. Consider this 'mid-tier influencer' status—if it were a TikTok, it would get a nod from nieces and nephews. The day with the most downloads was Jan 24, 2025 with 36 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
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Dependencies
- Imports1 package
- Suggests3 packages