hmmm: An R Package for Hierarchical Multinomial Marginal Models

hmmm: An R Package for Hierarchical Multinomial Marginal Models

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 indepe...

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Main Authors: Roberto Colombi, Sabrina Giordano, Manuela Cazzaro
Format: Article
Language:English
Published: Foundation for Open Access Statistics 2014-09-01
Series:Journal of Statistical Software
Online Access:http://www.jstatsoft.org/index.php/jss/article/view/2169
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spelling doaj-69d086ba65ee496ab241e470dad3b29a2020-11-24T23:25:46ZengFoundation for Open Access StatisticsJournal of Statistical Software1548-76602014-09-0159112510.18637/jss.v059.i11773hmmm: An R Package for Hierarchical Multinomial Marginal ModelsRoberto ColombiSabrina GiordanoManuela CazzaroIn 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.http://www.jstatsoft.org/index.php/jss/article/view/2169
collection DOAJ
language English
format Article
sources DOAJ
author Roberto Colombi
Sabrina Giordano
Manuela Cazzaro
spellingShingle Roberto Colombi
Sabrina Giordano
Manuela Cazzaro
hmmm: An R Package for Hierarchical Multinomial Marginal Models
Journal of Statistical Software
author_facet Roberto Colombi
Sabrina Giordano
Manuela Cazzaro
author_sort Roberto Colombi
title hmmm: An R Package for Hierarchical Multinomial Marginal Models
title_short hmmm: An R Package for Hierarchical Multinomial Marginal Models
title_full hmmm: An R Package for Hierarchical Multinomial Marginal Models
title_fullStr hmmm: An R Package for Hierarchical Multinomial Marginal Models
title_full_unstemmed hmmm: An R Package for Hierarchical Multinomial Marginal Models
title_sort hmmm: an r package for hierarchical multinomial marginal models
publisher Foundation for Open Access Statistics
series Journal of Statistical Software
issn 1548-7660
publishDate 2014-09-01
description 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.
url http://www.jstatsoft.org/index.php/jss/article/view/2169
work_keys_str_mv AT robertocolombi hmmmanrpackageforhierarchicalmultinomialmarginalmodels
AT sabrinagiordano hmmmanrpackageforhierarchicalmultinomialmarginalmodels
AT manuelacazzaro hmmmanrpackageforhierarchicalmultinomialmarginalmodels
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