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miceDRF  

Imputation with 'mice' and Distributional Random Forests
View on CRAN: Click here


Download and install miceDRF package within the R console
Install from CRAN:
install.packages("miceDRF")

Install from Github:
library("remotes")
install_github("cran/miceDRF")

Install by package version:
library("remotes")
install_version("miceDRF", "0.1.0")



Attach the package and use:
library("miceDRF")
Maintained by
Krystyna Grzesiak
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-06-01
Latest Update: 2026-06-01
Description:
Provides a custom imputation method for the 'mice' package based on distributional random forests. The package implements the 'mice.impute.DRF' method, which can be used within the standard 'mice' workflow. Missing values are imputed by estimating conditional distributions with distributional random forests and sampling observed responses using forest weights.
How to cite:
Krystyna Grzesiak (2026). miceDRF: Imputation with 'mice' and Distributional Random Forests. R package version 0.1.0, https://cran.r-project.org/web/packages/miceDRF. Accessed 10 Nov. 2026.
Previous versions and publish date:
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Complete documentation for miceDRF
Functions, R codes and Examples using the miceDRF R package
Full miceDRF package functions and examples
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