mixgb
Multiple Imputation Through 'XGBoost'
Multiple imputation using 'XGBoost', subsampling, and predictive mean matching as described in Deng and Lumley (2024) <doi:10.1080/10618600.2023.2252501>. The package supports various types of variables, offers flexible settings, and enables saving an imputation model to impute new data. Data processing and memory usage have been optimised to speed up the imputation process.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
2.2.3 |
rolling linux/jammy R-4.5 | mixgb_2.2.3.tar.gz |
1000.6 KiB |
2.2.3 |
rolling linux/noble R-4.5 | mixgb_2.2.3.tar.gz |
1003.1 KiB |
2.2.3 |
rolling source/ R- | mixgb_2.2.3.tar.gz |
789.3 KiB |
2.2.3 |
latest linux/jammy R-4.5 | mixgb_2.2.3.tar.gz |
1000.6 KiB |
2.2.3 |
latest linux/noble R-4.5 | mixgb_2.2.3.tar.gz |
1003.1 KiB |
2.2.3 |
latest source/ R- | mixgb_2.2.3.tar.gz |
789.3 KiB |
2.2.3 |
2026-04-26 source/ R- | mixgb_2.2.3.tar.gz |
789.3 KiB |
2.2.3 |
2026-04-23 source/ R- | mixgb_2.2.3.tar.gz |
789.3 KiB |
2.2.3 |
2026-04-09 windows/windows R-4.5 | mixgb_2.2.3.zip |
1.3 MiB |
1.5.3 |
2025-04-20 source/ R- | mixgb_1.5.3.tar.gz |
674.6 KiB |