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)
        <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.
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
Config/pak/sysreqs: cmake make libicu-dev libx11-dev zlib1g-dev
Repository: https://agnesdeng.r-universe.dev
Date/Publication: 2026-01-17 22:58:56 UTC
RemoteUrl: https://github.com/agnesdeng/mixgb
RemoteRef: HEAD
RemoteSha: d2d7b58806b0d48fbce7f55382ecd21077d17158
NeedsCompilation: yes
Packaged: 2026-06-24 12:41:38 UTC; root
Author: Yongshi Deng [aut, cre] (ORCID:
    <https://orcid.org/0000-0001-5845-859X>),
  Thomas Lumley [ths]
Maintainer: Yongshi Deng <agnes.yongshideng@gmail.com>