
The data are simulated from a bivariate seemingly unrelated regressions
model with two response variables ($Y_1$, $Y_2$) and two
covariates ($X_1$, $X_2$). The sample is only of size 8. 


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

sur function

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

Format

Drton, M. \& Richardson, T.S.  (2004) Multimodality of the likelihood
  in the bivariate seemingly unrelated regressions
  model. <em>Biometrika</em> 91(2): 383-392.

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

sur: Simulated Data from Seemingly Unrelated Regressions

Description

Usage

Arguments

Format

Source

Details

Examples