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” <arXiv:2101.07954>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.0 |
rolling linux/jammy R-4.5 | StackImpute_0.1.0.tar.gz |
1.9 MiB |
0.1.0 |
rolling linux/noble R-4.5 | StackImpute_0.1.0.tar.gz |
1.9 MiB |
0.1.0 |
rolling source/ R- | StackImpute_0.1.0.tar.gz |
1.9 MiB |
0.1.0 |
latest linux/jammy R-4.5 | StackImpute_0.1.0.tar.gz |
1.9 MiB |
0.1.0 |
latest linux/noble R-4.5 | StackImpute_0.1.0.tar.gz |
1.9 MiB |
0.1.0 |
latest source/ R- | StackImpute_0.1.0.tar.gz |
1.9 MiB |
0.1.0 |
2026-04-26 source/ R- | StackImpute_0.1.0.tar.gz |
1.9 MiB |
0.1.0 |
2026-04-23 source/ R- | StackImpute_0.1.0.tar.gz |
1.9 MiB |
0.1.0 |
2026-04-09 windows/windows R-4.5 | StackImpute_0.1.0.zip |
1.9 MiB |
0.1.0 |
2025-04-20 source/ R- | StackImpute_0.1.0.tar.gz |
1.9 MiB |