StackImpute
Tools for Analysis of Stacked Multiple Imputations
Provides methods for inference using stacked multiple imputations augmented with weights. The vignette provides example R code for implementation in general multiple imputation settings. For additional details about the estimation algorithm, we refer the reader to Beesley, Lauren J and Taylor, Jeremy M G (2020) “A stacked approach for chained equations multiple imputation incorporating the substantive model” doi:10.1111/biom.13372, and Beesley, Lauren J and Taylor, Jeremy M G (2021) “Accounting for not-at-random missingness through imputation stacking” doi:10.48550/arXiv.2101.07954.
- Version0.1.0
- R version≥ 3.6.0
- LicenseGPL-2
- Needs compilation?No
- Last release09/10/2021
Documentation
Team
Mike Kleinsasser
Lauren Beesley
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Last 30 days
This package has been downloaded 202 times in the last 30 days. Now we're getting somewhere! Enough downloads to populate a lively group chat. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 6 times.
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Last 365 days
This package has been downloaded 2,412 times in the last 365 days. That's enough downloads to impress a room full of undergrads. A commendable achievement indeed. The day with the most downloads was Sep 11, 2024 with 23 downloads.
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Dependencies
- Imports7 packages
- Suggests2 packages
- Reverse Imports1 package