yaImpute: Nearest Neighbor Observation Imputation and Evaluation Tools

Performs nearest neighbor-based 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.

Getting started

Package details

AuthorNicholas L. Crookston, Andrew O. Finley, John Coulston (Sunil Arya and David Mount for ANN)
MaintainerNicholas L. Crookston <ncrookston.fs@gmail.com>
LicenseGPL (>= 2)
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:

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yaImpute documentation built on Feb. 18, 2020, 1:10 a.m.