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.

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Description file content

Package
yaImpute
Version
1.0-31
Date
2018-12-26
Title
Nearest Neighbor Observation Imputation and Evaluation Tools
Author
Nicholas L. Crookston, Andrew O. Finley, John Coulston (Sunil Arya and David Mount for ANN)
Copyright
ANN library is copyright University of Maryland and Sunil Arya and David Mount. See file COPYRIGHTS for details.
Maintainer
Nicholas L. Crookston
Depends
R (>= 3.0.0)
Imports
grDevices, graphics, stats, utils
Suggests
vegan, ccaPP, randomForest, gam, fastICA, parallel, gower
NeedsCompilation
yes
Description
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.
License
GPL (>= 2)
Repository
CRAN
Repository/R-Forge/Project
yaimpute
Repository/R-Forge/Revision
103
Repository/R-Forge/DateTimeStamp
2018-12-26 23:21:55
Date/Publication
2019-01-09 19:30:03 UTC
Packaged
2018-12-26 23:32:03 UTC; rforge

install.packages('yaImpute')

1.0-31

5 months ago

Nicholas L. Crookston

GPL (>= 2)

Depends on

R (>= 3.0.0)

Imports

grDevices, graphics, stats, utils

Suggests

vegan, ccaPP, randomForest, gam, fastICA, parallel, gower

Discussions