Package: mixgb 1.5.3

mixgb: Multiple Imputation Through 'XGBoost'

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.

Authors:Yongshi Deng [aut, cre], Thomas Lumley [ths]

mixgb_1.5.3.tar.gz
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mixgb.pdf |mixgb.html✨
mixgb/json (API)
NEWS

# Install 'mixgb' in R:

install.packages('mixgb', repos = c('https://agnesdeng.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/agnesdeng/mixgb/issues

Pkgdown site:https://agnesdeng.github.io

Uses libs:

c++– GNU Standard C++ Library v3
openmp– GCC OpenMP (GOMP) support library

Datasets:

nhanes3 - A small subset of the NHANES III (1988-1994) newborn data
nhanes3_newborn - NHANES III (1988-1994) newborn data

On CRAN:

cpp openmp

6.58 score 23 stars 82 scripts 286 downloads 9 exports 70 dependencies

Last updated 2 months agofrom:d29836596c. Checks:12 OK. Indexed: yes.

Target	Result	Latest binary
Doc / Vignettes	OK	Mar 24 2025
R-4.5-win-x86_64	OK	Mar 24 2025
R-4.5-mac-x86_64	OK	Mar 24 2025
R-4.5-mac-aarch64	OK	Mar 24 2025
R-4.5-linux-x86_64	OK	Mar 24 2025
R-4.4-win-x86_64	OK	Mar 24 2025
R-4.4-mac-x86_64	OK	Mar 24 2025
R-4.4-mac-aarch64	OK	Mar 24 2025
R-4.4-linux-x86_64	OK	Mar 24 2025
R-4.3-win-x86_64	OK	Mar 24 2025
R-4.3-mac-x86_64	OK	Mar 24 2025
R-4.3-mac-aarch64	OK	Mar 24 2025

Exports:%>%createNA data_clean default_params default_params_cran impute_new mixgb mixgb_cv show_var

Dependencies:backports bit bit64 boot broom cli clipr codetools cpp11 crayon data.table dplyr fansi forcats foreach generics glmnet glue haven hms iterators jomo jsonlite lattice lifecycle lme4 magrittr MASS Matrix mice minqa mitml nlme nloptr nnet numDeriv ordinal pan pillar pkgconfig prettyunits progress purrr R6 rbibutils Rcpp RcppArmadillo RcppEigen RcppParallel Rdpack readr reformulas Rfast rlang rpart shape stringi stringr survival tibble tidyr tidyselect tzdb ucminf utf8 vctrs vroom withr xgboost zigg

Imputing newdata with a saved mixgb imputer

Yongshi Deng

Rendered fromImputing-newdata.Rmdusingknitr::rmarkdownon Mar 24 2025.

Last update: 2024-11-30
Started: 2022-05-18

mixgb: Multiple Imputation Through XGBoost

Yongshi Deng

Rendered fromUsing-mixgb.Rmdusingknitr::rmarkdownon Mar 24 2025.

Last update: 2024-11-30
Started: 2022-05-18

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Create missing values for a dataset	createNA
Data cleaning	data_clean
Auxiliary function for validating xgb.params	default_params
Auxiliary function for validating xgb.params compatible with XGBoost CRAN version	default_params_cran
Impute new data with a saved 'mixgb' imputer object	impute_new
Multiple imputation through XGBoost	mixgb
Use cross-validation to find the optimal 'nrounds'	mixgb_cv
A small subset of the NHANES III (1988-1994) newborn data	nhanes3
NHANES III (1988-1994) newborn data	nhanes3_newborn
Show multiply imputed values for a single variable	show_var