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.
Version: | 1.5.2 |
Depends: | R (≥ 3.6.0) |
Imports: | data.table, Matrix, mice, Rcpp, Rfast, stats, utils, xgboost (≥ 1.7.5.1), magrittr |
LinkingTo: | Rcpp, RcppArmadillo |
Suggests: | knitr, rmarkdown |
Published: | 2024-12-02 |
DOI: | 10.32614/CRAN.package.mixgb |
Author: | Yongshi Deng [aut, cre], Thomas Lumley [ths] |
Maintainer: | Yongshi Deng <agnes.yongshideng at gmail.com> |
BugReports: | https://github.com/agnesdeng/mixgb/issues |
License: | GPL (≥ 3) |
URL: | https://github.com/agnesdeng/mixgb |
NeedsCompilation: | yes |
Citation: | mixgb citation info |
Materials: | NEWS |
CRAN checks: | mixgb results |
Reference manual: | mixgb.pdf |
Vignettes: |
Imputing newdata with a saved mixgb imputer (source, R code) mixgb: Multiple Imputation Through XGBoost (source, R code) |
Package source: | mixgb_1.5.2.tar.gz |
Windows binaries: | r-devel: mixgb_1.5.2.zip, r-release: mixgb_1.5.2.zip, r-oldrel: mixgb_1.5.2.zip |
macOS binaries: | r-release (arm64): mixgb_1.5.2.tgz, r-oldrel (arm64): mixgb_1.5.2.tgz, r-release (x86_64): mixgb_1.5.2.tgz, r-oldrel (x86_64): mixgb_1.5.2.tgz |
Old sources: | mixgb archive |
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