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.
|Depends:||R (≥ 2.11.0)|
|Imports:||grDevices, graphics, stats, utils|
|Suggests:||vegan, ccaPP, randomForest, gam, fastICA, parallel|
|Author:||Nicholas L. Crookston, Andrew O. Finley, John Coulston (Sunil Arya and David Mount for ANN)|
|Maintainer:||Nicholas L. Crookston <ncrookston.fs at gmail.com>|
|License:||GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]|
|Copyright:||ANN library is copyright University of Maryland and Sunil
Arya and David Mount. See file COPYRIGHTS for details.
yaImpute copyright details
|Citation:||yaImpute citation info|
|CRAN checks:||yaImpute results|
|Windows binaries:||r-devel: yaImpute_1.0-26.zip, r-release: yaImpute_1.0-26.zip, r-oldrel: yaImpute_1.0-26.zip|
|OS X Mavericks binaries:||r-release: yaImpute_1.0-26.tgz, r-oldrel: yaImpute_1.0-26.tgz|
|Old sources:||yaImpute archive|
|Reverse imports:||neuroim, spatialEco, stlplus|
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