miceRanger
Multiple Imputation by Chained Equations with Random Forests
Multiple Imputation has been shown to be a flexible method to impute missing values by Van Buuren (2007) <doi:10.1177/0962280206074463>. Expanding on this, random forests have been shown to be an accurate model by Stekhoven and Buhlmann <arXiv:1105.0828> to impute missing values in datasets. They have the added benefits of returning out of bag error and variable importance estimates, as well as being simple to run in parallel.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.5.0 |
rolling source/ R- | miceRanger_1.5.0.tar.gz |
1.6 MiB |
1.5.0 |
rolling linux/jammy R-4.5 | miceRanger_1.5.0.tar.gz |
1.4 MiB |
1.5.0 |
latest source/ R- | miceRanger_1.5.0.tar.gz |
1.6 MiB |
1.5.0 |
latest linux/jammy R-4.5 | miceRanger_1.5.0.tar.gz |
1.4 MiB |
1.5.0 |
2026-04-23 source/ R- | miceRanger_1.5.0.tar.gz |
1.6 MiB |
1.5.0 |
2026-04-09 windows/windows R-4.5 | miceRanger_1.5.0.zip |
1.4 MiB |
1.5.0 |
2025-04-20 source/ R- | miceRanger_1.5.0.tar.gz |
1.6 MiB |