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.

Version:	2.2.3
Depends:	R (≥ 4.3.0)
Imports:	cli, data.table, Matrix, mice, Rcpp, Rfast, stats, utils, xgboost (≥ 3.1.2.1)
LinkingTo:	Rcpp, RcppArmadillo
Suggests:	knitr, rmarkdown, testthat (≥ 3.0.0)
Published:	2026-01-17
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
SystemRequirements:	macOS: Accelerate framework
Language:	en-GB
Citation:	mixgb citation info
Materials:	NEWS
CRAN checks:	mixgb results

Documentation:

Reference manual:	mixgb.html , mixgb.pdf
Vignettes:	Imputing newdata with a saved mixgb imputer (source, R code) mixgb: Multiple Imputation Through XGBoost (source, R code)

Downloads:

Package source:	mixgb_2.2.3.tar.gz
Windows binaries:	r-devel: mixgb_2.2.3.zip, r-release: mixgb_2.2.3.zip, r-oldrel: mixgb_2.2.3.zip
macOS binaries:	r-release (arm64): mixgb_2.2.3.tgz, r-oldrel (arm64): mixgb_2.2.3.tgz, r-release (x86_64): mixgb_2.2.3.tgz, r-oldrel (x86_64): mixgb_2.2.3.tgz
Old sources:	mixgb archive

Reverse dependencies:

Reverse imports:

vismi

Linking:

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