hierarchical multinomial marginal models
Description
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.