ExpectCovar-class

initialize,ExpectCovar-method


  Objects of class <code>"ExpectCovar"</code> represent the expectation and covariance
  of the linear statistic.


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

ExpectCovar-class function

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

Objects from the Class

<dl>
    <dt><code>expectation</code>:</dt><dd>
      Object of class <code>"numeric"</code>.  The expectation of the linear
      statistic.
    </dd> <dt><code>covariance</code>:</dt><dd>
      Object of class <code>"matrix"</code>.  The covariance matrix of the linear
      statistic.
    </dd> <dt><code>dimension</code>:</dt><dd>
      Object of class <code>"integer"</code>.  The dimension of the linear statistic.
    </dd> </dl> 

Slots

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

Known Subclasses

<dl>
    <dt>initialize</dt><dd>
      <code>signature(.Object = "ExpectCovar")</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.

ExpectCovar-class: Class `"ExpectCovar"`

Description

Arguments

Objects from the Class

Slots

Known Subclasses

Methods

Note