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mixgb
View on CRAN: Click
here
Download and install mixgb package within the R console
Install from CRAN:
install.packages("mixgb")
Install from Github:
library("remotes")
install_github("cran/mixgb") Install by package version:
library("remotes")
install_version("mixgb", "2.2.3") Attach the package and use:
library("mixgb")
Maintained by
Yongshi Deng
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-06-07
Latest Update: 2025-04-06
Description:
Multiple imputation using 'XGBoost', subsampling, and predictive mean
matching as described in Deng and Lumley (2023) . Our
method utilizes the capabilities of XGBoost, a highly efficient implementation
of gradient boosted trees, to capture interactions and non-linear relations
automatically. Moreover, we have integrated subsampling and predictive mean
matching to minimize bias and reflect appropriate imputation variability. This
package supports various types of variables and offers flexible settings for
subsampling and predictive mean matching. Additionally, it includes diagnostic
tools for evaluating the quality of the imputed values.
How to cite:
Yongshi Deng (2022). mixgb: Multiple Imputation Through 'XGBoost'. R package version 2.2.3, https://cran.r-project.org/web/packages/mixgb. Accessed 05 Mar. 2026.
Previous versions and publish date:
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imports, suggests or enhances
Complete documentation for mixgb
Functions, R codes and Examples using
the mixgb R package
Some associated functions: createNA . data_clean . impute_new . mixgb-package . mixgb . mixgb_cv . nhanes3 . nhanes3_newborn . plot_1num1fac . plot_1num2fac . plot_2fac . plot_2num . plot_2num1fac . plot_bar . plot_box . plot_hist . pmm.multiclass . pmm . show_var . sortNA .
Some associated R codes: createNA.R . data_clean.R . data_preprocess.R . globals.R . impute_new.R . initial_imp.R . initial_impnew.R . mixgb-package.R . mixgb.R . mixgb_boot.R . mixgb_bootsave.R . mixgb_cv.R . mixgb_null.R . mixgb_save.R . mixgb_use.R . nhanes3.R . nhanes3_newborn.R . plot_1var.R . plot_2vars.R . plot_3vars.R . pmm.R . save_vars.R . save_yhatobs.R . show_var.R . validation.R . Full mixgb package functions and examples
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