Package: mixgb Title: Multiple Imputation Through 'XGBoost' Version: 2.2.3 Authors@R: c( person(given = "Yongshi", family ="Deng", email = "agnes.yongshideng@gmail.com", role = c("aut","cre"),comment =c(ORCID = "0000-0001-5845-859X")), person(given = "Thomas", family = "Lumley", email = "t.lumley@auckland.ac.nz", role = "ths") ) Description: Multiple imputation using 'XGBoost', subsampling, and predictive mean matching as described in Deng and Lumley (2024) . 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. URL: https://github.com/agnesdeng/mixgb BugReports: https://github.com/agnesdeng/mixgb/issues License: GPL (>= 3) Encoding: UTF-8 Language: en-GB LazyData: true Imports: cli, data.table, Matrix, mice, Rcpp, Rfast, stats, utils, xgboost (>= 3.1.2.1) Suggests: knitr, rmarkdown, testthat (>= 3.0.0) Depends: R (>= 4.3.0) VignetteBuilder: knitr RoxygenNote: 7.3.3 SystemRequirements: macOS: Accelerate framework Config/testthat/edition: 3 LinkingTo: Rcpp, RcppArmadillo NeedsCompilation: yes Packaged: 2026-10-29 09:42:29 UTC; root Author: Yongshi Deng [aut, cre] (ORCID: ), Thomas Lumley [ths] Maintainer: Yongshi Deng Repository: https://cran.r-universe.dev Date/Publication: 2026-01-17 11:00:02 UTC RemoteUrl: https://github.com/cran/mixgb RemoteRef: HEAD RemoteSha: f3b926ac67d3bdf964fbb0c64bb51091569eec73