The function 'missForest' in this package is used to impute missing values particularly in the case of mixedtype data. It uses a random forest trained on the observed values of a data matrix to predict the missing values. It can be used to impute continuous and/or categorical data including complex interactions and nonlinear relations. It yields an outofbag (OOB) imputation error estimate without the need of a test set or elaborate crossvalidation. It can be run in parallel to save computation time.
Package details 


Author  Daniel J. Stekhoven <stekhoven@stat.math.ethz.ch> 
Maintainer  Daniel J. Stekhoven <stekhoven@stat.math.ethz.ch> 
License  GPL (>= 2) 
Version  1.4 
URL  http://www.rproject.org https://github.com/stekhoven/missForest 
Package repository  View on CRAN 
Installation 
Install the latest version of this package by entering the following in R:

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