Performs nearest neighborbased imputation using one or more alternative approaches to processing multivariate data. These include methods based on canonical correlation analysis, canonical correspondence analysis, and a multivariate adaptation of the random forest classification and regression techniques of Leo Breiman and Adele Cutler. Additional methods are also offered. The package includes functions for comparing the results from running alternative techniques, detecting imputation targets that are notably distant from reference observations, detecting and correcting for bias, bootstrapping and building ensemble imputations, and mapping results.
Package details 


Author  Nicholas L. Crookston, Andrew O. Finley, John Coulston (Sunil Arya and David Mount for ANN) 
Date of publication  20151012 17:12:04 
Maintainer  Nicholas L. Crookston <ncrookston.fs@gmail.com> 
License  GPL (>= 2) 
Version  1.027 
Package repository  View on RForge 
Installation 
Install the latest version of this package by entering the following in R:

Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.