hmmm: Hierarchical Multinomial Marginal Models

Functions for specifying and fitting marginal models for contingency tables proposed by Bergsma and Rudas (2002) <doi:10.1214/aos/1015362188> here called hierarchical multinomial marginal models (hmmm) and their extensions presented by Bartolucci, Colombi and Forcina (2007) <https://www.jstor.org/stable/24307737>; multinomial Poisson homogeneous (mph) models and homogeneous linear predictor (hlp) models for contingency tables proposed by Lang (2004) <doi:10.1214/aos/1079120140> and Lang (2005) <doi:10.1198/016214504000001042>. Inequality constraints on the parameters are allowed and can be tested.

Version: 1.0-5
Imports: quadprog, MASS, mvtnorm, nleqslv, methods
Published: 2024-05-13
DOI: 10.32614/CRAN.package.hmmm
Author: Roberto Colombi [aut, cre], Sabrina Giordano [aut], Manuela Cazzaro [aut], Joseph Lang [ctb]
Maintainer: Roberto Colombi <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_1.0-5.tar.gz
Windows binaries: r-devel: hmmm_1.0-5.zip, r-release: hmmm_1.0-5.zip, r-oldrel: hmmm_1.0-5.zip
macOS binaries: r-release (arm64): hmmm_1.0-5.tgz, r-oldrel (arm64): hmmm_1.0-5.tgz, r-release (x86_64): hmmm_1.0-5.tgz, r-oldrel (x86_64): hmmm_1.0-5.tgz
Old sources: hmmm archive

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