missForest

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
Packaged: 2013-12-31 14:28:06 UTC; DSQuantik
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2013-12-31 16:17:04

Install log

* installing to library '/home/ddbj/local/lib64/R/library'
* installing *source* package 'missForest' ...
** package 'missForest' successfully unpacked and MD5 sums checked
** R
** inst
** preparing package for lazy loading
** help
*** installing help indices
  converting help for package 'missForest'
    finding HTML links ... done
    missForest-package                      html  
    missForest                              html  
    finding level-2 HTML links ... done

    mixError                                html  
    nrmse                                   html  
    prodNA                                  html  
    varClass                                html  
** building package indices
** testing if installed package can be loaded
* DONE (missForest)
Making 'packages.html' ... done