R: Nonparametric Missing Value Imputation using Random Forest
missForest-package
R Documentation
Nonparametric Missing Value Imputation using Random Forest
Description
'missForest' is used to impute missing values particularly in the case
of mixed-type data. 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.
Moreover, it can be run parallel to save computation time.
Details
Package:
missForest
Type:
Package
Version:
1.4
Date:
2013-12-31
License:
GPL (>= 2)
LazyLoad:
yes
The main function of the package is missForest implementing the
nonparametric missing value imputation. See missForest for more
details.