scotland

<p>Male lip cancer in Scotland counties between 1975-1980.</p>

datasets

Likelihood inference in Gaussian copula marginal
regression models.

Cristiano Varin

gcmr

Gaussian Copula Marginal Regression

scotland function

<p>A data frame with the 56 observations with the following variables</p><table class="table">
<tr><td><code>observed</code></td><td>observed cases in each county.</td></tr>
<tr><td><code>expected</code></td><td>expected cases in each county.</td></tr>
<tr><td><code>AFF</code></td><td>proportion of the population employed in agriculture, fishing, or forestry.</td></tr>
<tr><td><code>latitude</code></td><td>county latitude.</td></tr>
<tr><td><code>longitude</code></td><td>county longitude.</td></tr>
</table><p></p><p></p>

Format

Scotland Lip Cancer Data — scotland

<p>A data frame with the 56 observations with the following variables</p><table class='table'>
<tr><td><code>observed</code></td><td>observed cases in each county.</td></tr>
<tr><td><code>expected</code></td><td>expected cases in each county.</td></tr>
<tr><td><code>AFF</code></td><td>proportion of the population employed in agriculture, fishing, or forestry.</td></tr>
<tr><td><code>latitude</code></td><td>county latitude.</td></tr>
<tr><td><code>longitude</code></td><td>county longitude.</td></tr>
</table>



scotland: Scotland Lip Cancer Data

Description

Usage

Arguments

Format

References

Examples

`observed`	observed cases in each county.
`expected`	expected cases in each county.
`AFF`	proportion of the population employed in agriculture, fishing, or forestry.
`latitude`	county latitude.
`longitude`	county longitude.