summary.hidden

An object of the class <code>hidden</code>, i.e. a result of `hidden.emfit'

object

Further arguments passed to or from other methods

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The generic function `summary' is adapted to the objects inheriting from class <code>hidden</code> 
(summary.hidden) to display the results of the estimation of a hidden model by `hidden.emfit'.

package

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.

summary.hidden: summary for the class hidden

Description

Usage

Arguments

Value

See Also