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  20171210 10:44:10 UTC 
Maintainer  Nicholas L. Crookston <[email protected]> 
License  GPL (>= 2) 
Version  1.029 
Package repository  View on CRAN 
Installation 
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