Published by the Foundation for Open Access Statistics Editors-in-chief: Bettina Grün, Torsten Hothorn, Rebecca Killick, Edzer Pebesma, Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
Authors: Roberto Colombi, Sabrina Giordano, Manuela Cazzaro
Title: hmmm: An R Package for Hierarchical Multinomial Marginal Models
Abstract: In this paper we show how complete hierarchical multinomial marginal (HMM) models for categorical variables can be defined, estimated and tested using the R package hmmm. Models involving equality and inequality constraints on marginal parameters are needed to define hypotheses of conditional independence, stochastic dominance or notions of positive dependence, or when the parameters are allowed to depend on covariates. The hmmm package also serves the need of estimating and testing HMM models under equality and inequality constraints on marginal interactions.

Page views:: 2537. Submitted: 2012-12-11. Published: 2014-09-12.
Paper: hmmm: An R Package for Hierarchical Multinomial Marginal Models     Download PDF (Downloads: 2364)
Supplements:
hmmm_1.0-3.tar.gz: R source package Download (Downloads: 195; 379KB)
v59i11.R: R example code from the paper Download (Downloads: 219; 6KB)
DOI: 10.18637/jss.v059.i11

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Paper: Creative Commons Attribution 3.0 Unported License
Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license.