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 15 Jul. 2026.
Previous versions and publish date:
(2026-07-09 08:23), 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

SECFISH  
Disaggregate Variable Costs
These functions were developed within SECFISH project (Strengthening regional cooperation in the are ...
Download / Learn more Package Citations See dependency  
gscaLCA  
Generalized Structure Component Analysis- Latent Class Analysis & Latent Class Regression
Execute Latent Class Analysis (LCA) and Latent Class Regression (LCR) by using Generalized Structu ...
Download / Learn more Package Citations See dependency  
binhf  
Haar-Fisz Functions for Binomial Data
Binomial Haar-Fisz transforms for Gaussianization as in Nunes and Nason (2009). ...
Download / Learn more Package Citations See dependency  
PermAlgo  
Permutational Algorithm to Simulate Survival Data
This version of the permutational algorithm generates a dataset in which event and censoring times ...
Download / Learn more Package Citations See dependency  
gamlss.add  
Extra Additive Terms for Generalized Additive Models for Location Scale and Shape
Interface for extra smooth functions including tensor products, neural networks and decision trees. ...
Download / Learn more Package Citations See dependency  
r2resize  
In-Text Resize for Images, Tables and Fancy Resize Containers in 'shiny', 'rmarkdown' and 'quarto' Documents
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency  

27,806

R Packages

239,283

Dependencies

73,837

Author Associations

27,807

Publication Badges

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