madsen

The dataset concerns 1681 rental property residents classified according to their 
satisfaction from the house, perceived influence on the management of the property, type of rental accommodation, 
and contact with other residents.

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

madsen function

A data frame whose columns contain:<dl class="dl-horizontal"><dt><code>Satisfaction</code></dt><dd>A factor with levels: <code>low</code>, <code>medium</code>, <code>high</code></dd>
 <dt><code>Contact</code></dt><dd>A factor with levels: <code>low</code>, <code>high</code></dd>
 <dt><code>Housing</code></dt><dd>A factor with levels: <code>tower block</code>, <code>apartment</code>, <code>atrium house</code>, <code>terraced house</code></dd>
 <dt><code>Freq</code></dt><dd>A numeric vector of frequencies</dd></dl>

madsen: Madsen data

Description

Usage

Arguments

Format

References

Examples