hmmm: hierarchical multinomial marginal models
Version 1.0-3

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.

Package details

AuthorColombi Roberto and Sabrina Giordano and Manuela Cazzaro, with contributions from Joseph Lang
Date of publication2014-08-14 18:06:17
MaintainerColombi Roberto <[email protected]>
LicenseGPL (>= 2)
Version1.0-3
URL http://www.r-project.org
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("hmmm")

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hmmm documentation built on May 29, 2017, 6:20 p.m.