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Please use this persistent URL to cite or link to this item:
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Title: yaImpute: An R Package for kNN Imputation.
Authors: Crookston, N.L.
Finley, A.O.
USDA, FS
Source: Journal of statistical software. 2008 Jan., v. 23, issue 10, p. 1-16.
NALT Subjects: statistical analysis
computer software
forest inventory
forest mensuration
prediction
estimation
spatial data
correlation
algorithms
computer analysis
multivariate analysis
Other Subjects: independent component analysis
most similar neighbor
nearest neighbor imputation
correspondence analysis
canonical correlation
Issue Date: Jan-2008
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.
URI: http://hdl.handle.net/10113/16688
Appears in Collections:USDA Research and Information

Files in This Item:

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IND44075588.pdf479KbAdobe PDFView/Open

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