kentucky

The traffic accident data collected by the Kentucky State Police from 1995 to 1999. 
The annual numbers of vehicle occupants involved in Kentucky accidents are classified according to 3 
variables: injury, restraint usage and year.

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

kentucky function

A data frame whose columns contain:<dl class="dl-horizontal"><dt><code>Restraint.usage</code></dt><dd>A factor with levels: <code>yes</code> = restraint used, <code>no</code> = restraint not used</dd>
<dt><code>Year</code></dt><dd><code>1995</code>, <code>1996</code>, <code>1997</code>, <code>1998</code>, <code>1999</code></dd>
<dt><code>Freq</code></dt><dd>A numeric vector of frequencies</dd></dl>

kentucky: Kentucky traffic accident data

Description

Usage

Arguments

Format

References

Examples