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mixgb: Multiple Imputation Through 'XGBoost'
Multiple imputation using 'XGBoost', subsampling, and predictive mean matching as described in Deng and Lumley (2023) <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.
Getting started
Browse package contents
Package details |
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| Author | Yongshi Deng [aut, cre] (<https://orcid.org/0000-0001-5845-859X>), Thomas Lumley [ths] |
| Maintainer | Yongshi Deng <agnes.yongshideng@gmail.com> |
| License | GPL (>= 3) |
| Version | 1.5.3 |
| URL | https://github.com/agnesdeng/mixgb |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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