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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.
- Author(s):
- Crookston, N.L. , Finley, A.O.
- Subject(s):
- statistical analysis , computer software , forest inventory , forest mensuration , prediction , estimation , spatial data , correlation , algorithms , computer analysis , multivariate analysis
- Description:
- Includes references
- Source:
- Journal of statistical software 2008 Jan., v. 23, issue 10
- Language:
- English
- Year:
- 2008
- Collection:
- Journal Articles, USDA Authors, Peer-Reviewed
- File:
- Download [PDF]
- Rights:
- Works produced by employees of the U.S. Government as part of their official duties are not copyrighted within the U.S. The content of this document is not copyrighted.
