yaImpute (version 1.0-34)

Nearest Neighbor Observation Imputation and Evaluation Tools

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.

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Install

install.packages('yaImpute')

Monthly Downloads

4,188

Version

1.0-34

License

GPL (>= 2)

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Last Published

December 12th, 2023

Functions in yaImpute (1.0-34)