Nonparametric Missing Value Imputation using Random Forest 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. Software Depends: randomForest Daniel J. Stekhoven, <stekhoven@stat.math.ethz.ch> Daniel J. Stekhoven, <stekhoven@stat.math.ethz.ch> GPL (>= 2) 2012-02-20 application/tgz http://CRAN.R-project.org/package=missForest