relpolbirth

Data on religion, political orientation and opinion on teenage birth control of a sample of 911 U.S. citizens.

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

relpolbirth function

A data frame whose columns contain:<dl class="dl-horizontal"><dt><code>Politics</code></dt><dd>A factor with levels: <code>Extremely liberal</code>, <code>Liberal</code>, <code>Slightly liberal</code>, <code>Moderate</code>,
<code>Slightly conservative</code>, <code>Conservative</code>, <code>Extremely conservative</code></dd>
<dt><code>Birthcontrol</code></dt><dd>A factor with levels: <code>Strongly agree</code>, <code>Agree</code>, <code>Disagree</code>, <code>Strongly disagree</code></dd> 
<dt><code>Freq</code></dt><dd>A numeric vector of frequencies</dd></dl>

relpolbirth: religion, political orientation and teenage birth control data

Description

Usage

Arguments

Format

References

Examples