Published by the Foundation for Open Access Statistics Editors-in-chief: Bettina Grün, Torsten Hothorn, Rebecca Killick, Edzer Pebesma, Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
Authors: Nicholas L. Crookston, Andrew O. Finley
Title: yaImpute: An R Package for kNN Imputation
Abstract: This article introduces yaImpute, an R package for nearest neighbor search and imputation. Although nearest neighbor imputation is used in a host of disciplines, the methods implemented in the yaImpute package are tailored to imputation-based forest attribute estimation and mapping. The impetus to writing the yaImpute is a growing interest in nearest neighbor imputation methods for spatially explicit forest inventory, and a need within this research community for software that facilitates comparison among different nearest neighbor search algorithms and subsequent imputation techniques. yaImpute provides directives for defining the search space, subsequent distance calculation, and imputation rules for a given number of nearest neighbors. Further, the package offers a suite of diagnostics for comparison among results generated from different imputation analyses and a set of functions for mapping imputation results.

Page views:: 15290. Submitted: 2007-06-20. Published: 2008-01-09.
Paper: yaImpute: An R Package for kNN Imputation     Download PDF (Downloads: 16258)
v23i10.R: R example code from the paper Download (Downloads: 2465; 2KB) Data sets for examples Download (Downloads: 1892; 6MB)

DOI: 10.18637/jss.v023.i10

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Paper: Creative Commons Attribution 3.0 Unported License
Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license.