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.

Version: 1.0-34
Depends: R (≥ 3.0.0)
Imports: grDevices, graphics, stats, utils
Suggests: vegan, ccaPP, randomForest, gam, fastICA, parallel, gower
Published: 2023-12-12
DOI: 10.32614/CRAN.package.yaImpute
Author: Jeffrey S. Evans ORCID iD [aut, cre], Nicholas L. Crookston [aut], Andrew O. Finley [aut], John Coulston (Sunil Arya and David Mount for ANN) [ctb, com]
Maintainer: Jeffrey S. Evans <jeffrey_evans at tnc.org>
BugReports: https://github.com/jeffreyevans/yaImpute/issues
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
URL: https://github.com/jeffreyevans/yaImpute
NeedsCompilation: yes
Citation: yaImpute citation info
In views: MissingData
CRAN checks: yaImpute results


Reference manual: yaImpute.pdf


Package source: yaImpute_1.0-34.tar.gz
Windows binaries: r-devel: yaImpute_1.0-34.zip, r-release: yaImpute_1.0-34.zip, r-oldrel: yaImpute_1.0-34.zip
macOS binaries: r-release (arm64): yaImpute_1.0-34.tgz, r-oldrel (arm64): yaImpute_1.0-34.tgz, r-release (x86_64): yaImpute_1.0-34.tgz, r-oldrel (x86_64): yaImpute_1.0-34.tgz
Old sources: yaImpute archive

Reverse dependencies:

Reverse depends: intrinsicDimension
Reverse imports: ale, ALEPlot, climetrics, gamlss.ggplots, NCSampling, neuroim, stlplus
Reverse suggests: iml, spatialEco


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