anxietyanger


Measurements on 684 students. The 4 variables are:
  <ul>
<li> Anxiety state,
    </li>
<li> Anger state,
    </li>
<li> Anxiety trait,
    </li>
<li> Anger trait.
  </li>
</ul><p></p><p></p>

datasets

This package provides routines to perform SIN model selection
as described in Drton & Perlman (2004, 2008).  The selected models are
represented in the format of the 'ggm' package, which allows in
particular parameter estimation in the selected model.

Mathias Drton

A SINful Approach to Selection of Gaussian Graphical Markov
Models

anxietyanger function

A list providing a summary of the data. The list contains:
  <table><tr><td>
    <code>anxietyanger$means</code> </td>
<td> : </td>
</tr><tr><td> the mean vector,</td>
<td> 
    <code>anxietyanger$stddev</code>   </td>
</tr><tr><td> : </td>
<td> the vector of standard deviations,</td>
</tr><tr><td>
    <code>anxietyanger$corr</code> </td>
<td> : </td>
</tr><tr><td> the correlation matrix, and </td>
<td>
    <code>anxietyanger$means</code> </td>
</tr></table>

Format

Cox, D.R. \& Wermuth, N.  (1993) Linear Dependencies Represented by
  Chain Graphs.  <em>Statistical Science</em> 8(3): 204-283. (See Table 1).

`anxietyanger$means`	:
the mean vector,	`anxietyanger$stddev`
:	the vector of standard deviations,
`anxietyanger$corr`	:
the correlation matrix, and	`anxietyanger$means`

anxietyanger: Anxiety and Anger

Description

Usage

Arguments

Format

Source

Examples