cor.yai

an object created by <code><a rd-options="" href="/link/yai?package=yaImpute&version=1.0-29" data-mini-rdoc="yaImpute::yai">yai</a></code> or <code><a rd-options="" href="/link/impute.yai?package=yaImpute&version=1.0-29" data-mini-rdoc="yaImpute::impute.yai">impute.yai</a></code>.

object

a list of variables names you want to include, if NULL all available
 variables are included.

vars

passed to called methods (not currently used)

&#8230;

Computes the correlation between observed and imputed values
 for each observation that has both.

multivariate

misc

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.

Nicholas Crookston

yaImpute

Nearest Neighbor Observation Imputation and Evaluation Tools

cor.yai function

an object created by <code><a rd-options='' href='yai'>yai</a></code> or <code><a rd-options='' href='impute.yai'>impute.yai</a></code>.

cor.yai: Correlation between observed and imputed

Description

Usage

Arguments

Value

Details

References

See Also