Package: missForest
Type: Package
Title: Nonparametric Missing Value Imputation using Random Forest
Version: 1.1
Date: 2011-10-28
Author: Daniel J. Stekhoven, <stekhoven@stat.math.ethz.ch>
Maintainer: Daniel J. Stekhoven, <stekhoven@stat.math.ethz.ch>
Depends: randomForest
Description: The function 'missForest' in this package is used to impute missing values particularly in the case of mixed-type 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 out-of-bag (OOB) imputation error estimate without the need of a test set or elaborate cross-validation. 
License: GPL (>= 2)
LazyLoad: yes
Packaged: 2011-11-04 10:39:25 UTC; hoven
Repository: CRAN
Date/Publication: 2011-11-04 20:14:13
