vars

xvars

yvars

Provides a character vector, or a list of character vectors
 of all the variables in a <code>yai</code> object,
 just the X-variables (<code>xvars</code>), or just the Y-variables (<code>yvars</code>).

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.

Jeffrey S Evans

yaImpute

Nearest Neighbor Observation Imputation and Evaluation Tools

Jeffrey S. Evans

Nicholas L. Crookston

Andrew O. Finley

John Coulston (Sunil Arya and David Mount for ANN)

vars function

<dl> <dt>object</dt>
<dd>an object created by <code>yai</code>.</dd></dl>

Arguments

Nicholas L. Crookston <a href="/link/ncrookston.fs%40gmail.com?package=yaImpute&version=1.0-34.1" data-mini-rdoc="yaImpute::ncrookston.fs@gmail.com">ncrookston.fs@gmail.com</a> 
 Andrew O. Finley <a href="/link/finleya%40msu.edu?package=yaImpute&version=1.0-34.1" data-mini-rdoc="yaImpute::finleya@msu.edu">finleya@msu.edu</a>

Author

List variables in a yai object — vars

<dl>

 <dt>object</dt>
<dd>an object created by <code>yai</code>.</dd>

</dl>

Nicholas L. Crookston <a href='mailto:ncrookston.fs@gmail.com'>ncrookston.fs@gmail.com</a> 
 Andrew O. Finley <a href='mailto:finleya@msu.edu'>finleya@msu.edu</a>

vars: List variables in a yai object

Description

Usage

Value

Arguments

Author

See Also