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Journal article

yaImpute : An R Package for k NN Imputation

Crookston N, Finley A...(+2 more)

Journal of statistical Software, vol. 23, issue 10 (2008) pp. 1-16

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Abstract

This article introduces yaImpute, an R package for nearest neighbor search and impu- tation. 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 differ- ent nearest neighbor search algorithms and subsequent imputation techniques. yaImpute provides directives for defining the search space, subsequent distance calculation, and im- putation 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-supplied keywords

  • Mahalanobis
  • canonical correlation
  • correspondence analysis
  • est neighbor
  • gradient near-
  • imputation
  • independent component analysis
  • mapping predictions
  • most similar neighbor
  • multivariate
  • random fore
  • random forests

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