Package: missForest
Type: Package
Title: Nonparametric Missing Value Imputation using Random Forest
Version: 1.4
Date: 2013-12-31
Author: Daniel J. Stekhoven <stekhoven@stat.math.ethz.ch>
Maintainer: Daniel J. Stekhoven <stekhoven@stat.math.ethz.ch>
Depends: randomForest,foreach,itertools
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 non-linear relations. It yields an out-of-bag
        (OOB) imputation error estimate without the need of a test set
        or elaborate cross-validation. It can be run in parallel to 
        save computation time.
License: GPL (>= 2)
URL: http://www.r-project.org, https://github.com/stekhoven/missForest
Packaged: 2013-12-31 14:28:06 UTC; DSQuantik
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2013-12-31 16:17:04
Built: R 3.4.1; ; 2017-10-22 14:39:07 UTC; windows
