accident

Data on factory accidents occurred in Bergamo (Italy) in 1998, collected by the Inail (Italian institute for insurance against factory accidents): 1052 workers who suffered an accident and claimed for a compensation are classified according to the type of injury, the time to 
recover (number of working days lost), the age (years), 
and the solar hour (part of the day in which the accident occurred).

datasets

Functions for specifying and fitting marginal models for contingency tables proposed
by Bergsma and Rudas (2002) here called hierarchical multinomial marginal models (hmmm) and their extensions presented by Bartolucci et al.
(2007); multinomial Poisson homogeneous (mph) models and homogeneous linear predictor (hlp) models for contingency
tables proposed by Lang (2004) and (2005); hidden Markov models where the distribution of the observed variables
is described by a marginal model.
Inequality constraints on the parameters are allowed and can be tested.

Colombi Roberto

hmmm

Hierarchical Multinomial Marginal Models

accident function

A data frame whose columns contain:<dl class="dl-horizontal">
<dt><code>Type</code></dt><dd>A factor with levels: <code>uncertain</code>, <code>avoidable</code>, <code>not-avoidable</code></dd>
 <dt><code>Time</code></dt><dd>A factor with levels: <code>0 |-- 7</code>, <code>7 |-- 21</code>, <code>21 |-- 60</code>, <code>&gt;= 60</code></dd>
 <dt><code>Age</code></dt><dd>A factor with levels: <code>&lt;= 25</code>, <code>26 -- 45</code>, <code>&gt; 45</code></dd>
 <dt><code>Hour</code></dt><dd>A factor with levels: <code>morning</code>, <code>afternoon</code></dd>
 <dt><code>Freq</code></dt><dd>A numeric vector of frequencies</dd></dl>

Format

factory accident data — accident

A data frame whose columns contain:<dl class='dl-horizontal'>
<dt><code>Type</code></dt><dd>A factor with levels: <code>uncertain</code>, <code>avoidable</code>, <code>not-avoidable</code></dd>
 <dt><code>Time</code></dt><dd>A factor with levels: <code>0 |-- 7</code>, <code>7 |-- 21</code>, <code>21 |-- 60</code>, <code>&gt;= 60</code></dd>
 <dt><code>Age</code></dt><dd>A factor with levels: <code>&lt;= 25</code>, <code>26 -- 45</code>, <code>&gt; 45</code></dd>
 <dt><code>Hour</code></dt><dd>A factor with levels: <code>morning</code>, <code>afternoon</code></dd>
 <dt><code>Freq</code></dt><dd>A numeric vector of frequencies</dd></dl>

accident: factory accident data

Description

Usage

Arguments

Format

References

Examples