Package

r-yaimpute

Description

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.

Note