Other packages > Find by keyword >

RfEmpImp  

Multiple Imputation using Chained Random Forests
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("RfEmpImp", "2.1.8")



Attach the package and use:
library("RfEmpImp")
Maintained by
Shangzhi Hong
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-05-16
Latest Update: 2022-10-20
Description:
An R package for multiple imputation using chained random forests. Implemented methods can handle missing data in mixed types of variables by using prediction-based or node-based conditional distributions constructed using random forests. For prediction-based imputation, the method based on the empirical distribution of out-of-bag prediction errors of random forests and the method based on normality assumption for prediction errors of random forests are provided for imputing continuous variables. And the method based on predicted probabilities is provided for imputing categorical variables. For node-based imputation, the method based on the conditional distribution formed by the predicting nodes of random forests, and the method based on proximity measures of random forests are provided. More details of the statistical methods can be found in Hong et al. (2020) .
How to cite:
Shangzhi Hong (2020). RfEmpImp: Multiple Imputation using Chained Random Forests. R package version 2.1.8, https://cran.r-project.org/web/packages/RfEmpImp. Accessed 04 Jun. 2026.
Previous versions and publish date:
2.0.3 (2020-05-16 11:30), 2.1.5 (2020-06-25 07:00)
Other packages that cited RfEmpImp R package
View RfEmpImp citation profile
Other R packages that RfEmpImp depends, imports, suggests or enhances
Complete documentation for RfEmpImp
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

crplyr  
A 'dplyr' Interface for Crunch
In order to facilitate analysis of datasets hosted on the Crunch data platform ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
golem  
A Framework for Robust Shiny Applications
An opinionated framework for building a production-ready 'Shiny' application. This package contains ...
Download / Learn more Package Citations See dependency  
shinybusy  
Busy Indicators and Notifications for 'Shiny' Applications
Add indicators (spinner, progress bar, gif) in your 'shiny' applications to show the user that the ...
Download / Learn more Package Citations See dependency  
phers  
Calculate Phenotype Risk Scores
Use phenotype risk scores based on linked clinical and genetic data to study Mendelian disease and ...
Download / Learn more Package Citations See dependency  
murphydiagram  
Murphy Diagrams for Forecast Comparisons
Data and code for the paper by Ehm, Gneiting, Jordan and Krueger ('Of Quantiles and Expectiles: Con ...
Download / Learn more Package Citations See dependency  

27,268

R Packages

233,548

Dependencies

72,590

Author Associations

27,205

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA