train

Agresti (2007) presented the train accident data in the UK between 1975 and 2003.
The respone variable y is annual number of collisions between trains
and road vehicles, for t million kilometers of train travel. 
The covariate x is number of years since 1975.

Allows various models for multivariate response variables where each response is assumed to follow double hierarchical generalized linear models. In double hierarchical generalized linear models, the mean, dispersion parameters for variance of random effects, and residual variance can be further modeled as random-effect models.

Maengseok Noh

mdhglm

Multivariate Double Hierarchical Generalized Linear Models

train function

A data frame with 29 observations on the following 4 variables.<dl class="dl-horizontal">
 <dt><code>x</code></dt><dd>number of years since 1975</dd>
 <dt><code>y</code></dt><dd>annual number of collisions between trains and road vehicles</dd>
 <dt><code>t</code></dt><dd>million kilometers of annual train travel</dd>
 <dt><code>id</code></dt><dd>oberservations identifier</dd>
 </dl>

Format

Train Accident Data — train

A data frame with 29 observations on the following 4 variables.<dl class='dl-horizontal'>
 <dt><code>x</code></dt><dd>number of years since 1975</dd>
 <dt><code>y</code></dt><dd>annual number of collisions between trains and road vehicles</dd>
 <dt><code>t</code></dt><dd>million kilometers of annual train travel</dd>
 <dt><code>id</code></dt><dd>oberservations identifier</dd>
 </dl>

train: Train Accident Data

Description

Usage

Arguments

Format

References