Package: mixgb
Title: Multiple Imputation Through 'XGBoost'
Version: 0.1.0
Authors@R: c(
    person(given = "Yongshi", family ="Deng", email = "yongshi.deng@auckland.ac.nz",
           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', bootstrapping and predictive mean 
    matching as described in Deng and Lumley (2021) <arXiv:2106.01574>. It is built 
    under Fully Conditional Specification, where 'XGBoost' imputation models are
    built for each incomplete variable. It supports various types of variables and 
    offers different settings regarding bootstrapping and predictive mean matching. 
    Visual diagnostic functions are also provided for inspecting multiply imputed 
    values for incomplete variables.
URL: https://github.com/agnesdeng/mixgb,
        https://agnesdeng.github.io/mixgb/
BugReports: https://github.com/agnesdeng/mixgb/issues
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Imports: data.table, ggplot2, Matrix, mice, Rfast, rlang, scales,
        stats, tidyr, utils, xgboost
Suggests: knitr, rmarkdown, RColorBrewer
Depends: R (>= 3.5.0)
VignetteBuilder: knitr
RoxygenNote: 7.2.0
Config/testthat/edition: 3
NeedsCompilation: no
Packaged: 2022-06-06 23:11:31 UTC; agnes
Author: Yongshi Deng [aut, cre] (<https://orcid.org/0000-0001-5845-859X>),
  Thomas Lumley [ths]
Maintainer: Yongshi Deng <yongshi.deng@auckland.ac.nz>
Repository: CRAN
Date/Publication: 2022-06-07 08:40:06 UTC
