grades


The data consists of the test results of 220 boys in the 6 school
subjects:  
  <ul>
<li> Gaelic,
    </li>
<li> English,
    </li>
<li> history,
    </li>
<li> arithmetic,
    </li>
<li> algebra,
    </li>
<li> geometry.
  </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

grades function

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

Format

Whittaker, J. (1990) <em>Graphical models in applied
    multivariate statistics</em>. Chichester: Wiley. (See p.266).

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

grades: School Grades

Description

Usage

Arguments

Format

Source

Examples