hmmm: Hierarchical Multinomial Marginal Models

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.

Version:	1.0-4
Imports:	quadprog, MASS, mvtnorm, nleqslv
Published:	2018-03-14
Author:	Colombi Roberto and Sabrina Giordano and Manuela Cazzaro, with contributions from Joseph Lang
Maintainer:	Colombi Roberto <colombi at unibg.it>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL:	https://www.r-project.org
NeedsCompilation:	no
Citation:	hmmm citation info
Materials:	NEWS
CRAN checks:	hmmm results

Documentation:

Reference manual:	hmmm.pdf
Vignettes:	hmmm

Downloads:

Package source:	hmmm_1.0-4.tar.gz
Windows binaries:	r-devel: hmmm_1.0-4.zip, r-release: hmmm_1.0-4.zip, r-oldrel: hmmm_1.0-4.zip
macOS binaries:	r-release (arm64): hmmm_1.0-4.tgz, r-oldrel (arm64): hmmm_1.0-4.tgz, r-release (x86_64): hmmm_1.0-4.tgz, r-oldrel (x86_64): hmmm_1.0-4.tgz
Old sources:	hmmm archive

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