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.
||R (≥ 3.0.0)
||grDevices, graphics, stats, utils
||vegan, ccaPP, randomForest, gam, fastICA, parallel, gower
||Jeffrey S. Evans
Nicholas L. Crookston [aut],
Andrew O. Finley [aut],
John Coulston (Sunil Arya and David Mount for ANN) [ctb, com]
||Jeffrey S. Evans <jeffrey_evans at tnc.org>
||GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
||ANN library is copyright University of Maryland and Sunil
Arya and David Mount. See file COPYRIGHTS for details.
yaImpute copyright details
||yaImpute citation info
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