err.est

<code>err.est</code> is a generic function for true error rate estimations of classification rules built with additional information. The function invokes particular methods which depend on the <code><a href="/link/class?package=dawai&version=1.2.7" data-mini-rdoc="dawai::class">class</a></code> of the first argument.

 multivariate

 classif 

In applications it is usual that some additional information is available. This package dawai (an acronym
for Discriminant Analysis With Additional Information) performs linear and quadratic discriminant analysis with
additional information expressed as inequality restrictions among the populations means. It also computes several
estimations of the true error rate.

David Conde

dawai

Discriminant Analysis with Additional Information

Bonifacio Salvador

err.est function

<dl> <dt>x</dt>
<dd>An object for which true error rate estimations are desired.</dd> <dt>...</dt>
<dd>Additional arguments affecting the true error rate estimations produced.</dd></dl>

Arguments

Author

<code>err.est</code> is a generic function for true error rate estimations of classification rules built with additional information. The function invokes particular methods which depend on the <code><a href='https://rdrr.io/r/base/class.html'>class</a></code> of the first argument.

Restricted Discriminant Analysis. True Error Rate estimation — err.est

<dl>

 <dt>x</dt>
<dd>An object for which true error rate estimations are desired.</dd>

 <dt>...</dt>
<dd>Additional arguments affecting the true error rate estimations produced.</dd>

</dl>

err.est: Restricted Discriminant Analysis. True Error Rate estimation

Description

Usage

Value

Arguments

Author

See Also