Last data update: 2014.03.03

GenForImp

Package: GenForImp
Type: Package
Title: The Forward Imputation: A Sequential Distance-Based Approach for
Imputing Missing Data
Version: 1.0
Date: 2015-02-27
Author: Nadia Solaro, Alessandro Barbiero, Giancarlo Manzi, Pier Alda Ferrari
Maintainer: Alessandro Barbiero <alessandro.barbiero@unimi.it>
Description: Two methods based on the Forward Imputation approach are implemented for the imputation of quantitative missing data. One method alternates Nearest Neighbour Imputation and Principal Component Analysis (function 'ForImp.PCA'), the other uses Nearest Neighbour Imputation with the Mahalanobis distance (function 'ForImp.Mahala').
License: GPL-3
Depends: mvtnorm, sn
Packaged: 2015-02-27 17:11:22 UTC; admin
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2015-02-27 19:31:42

2 images, 5 functions, 0 datasets
● Reverse Depends: 0

Install log

* installing to library '/home/ddbj/local/lib64/R/library'
* installing *source* package 'GenForImp' ...
** package 'GenForImp' successfully unpacked and MD5 sums checked
** R
** preparing package for lazy loading
** help
*** installing help indices
  converting help for package 'GenForImp'
    finding HTML links ... done
    ForImp.Mahala                           html  
    ForImp.PCA                              html  
    GenForImp-package                       html  
    missing.gen                             html  
    missing.gen0                            html  
** building package indices
** testing if installed package can be loaded
* DONE (GenForImp)
Making 'packages.html' ... done