ExpectCovarInfluence-class

initialize,ExpectCovarInfluence-method


  Objects of class <code>"ExpectCovarInfluence"</code> represent the expectation and
  covariance of the influence function.


classes

Conditional inference procedures for the general independence
problem including two-sample, K-sample (non-parametric ANOVA), correlation,
censored, ordered and multivariate problems.

Torsten Hothorn

coin

Conditional Inference Procedures in a Permutation Test Framework

ExpectCovarInfluence-class function

Objects can be created by calls of the form <pre>     new("ExpectCovarInfluence", \dots).</pre>

Objects from the Class

<dl>
    <dt><code>sumweights</code>:</dt><dd>
      Object of class <code>"numeric"</code>.  The sum of the case weights.
    </dd> <dt><code>expectation</code>:</dt><dd>
      Object of class <code>"numeric"</code>.  The expectation of the influence
      function.
    </dd> <dt><code>covariance</code>:</dt><dd>
      Object of class <code>"matrix"</code>.  The covariance matrix of the influence
      function.
    </dd> <dt><code>dimension</code>:</dt><dd>
      Object of class <code>"integer"</code>.  The dimension of the influence function.
    </dd> </dl> 

Slots

Class <code>"ExpectCovar"</code>, directly.

Extends

<dl>
    <dt>initialize</dt><dd>
      <code>signature(.Object = "ExpectCovarInfluence")</code>: See the documentation
      for <code><a rd-options="methods:new" href="/link/initialize?package=coin&version=1.1-2&to=methods%3Anew" data-mini-rdoc="methods:new::initialize">initialize</a></code> (in package <span class="pkg">methods</span>) for
      details.
    </dd> </dl> 

Methods

Normally, this class is used internally only.

ExpectCovarInfluence-class: Class `"ExpectCovarInfluence"`

Description

Arguments

Objects from the Class

Slots

Extends

Methods

Note