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hmmm  

Hierarchical Multinomial Marginal Models
View on CRAN: Click here


Download and install hmmm package within the R console
Install from CRAN:
install.packages("hmmm")

Install from Github:
library("remotes")
install_github("cran/hmmm")

Install by package version:
library("remotes")
install_version("hmmm", "1.0-5")



Attach the package and use:
library("hmmm")
Maintained by
Roberto Colombi
[Scholar Profile | Author Map]
First Published: 2012-11-17
Latest Update: 2018-03-14
Description:
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.
How to cite:
Roberto Colombi (2012). hmmm: Hierarchical Multinomial Marginal Models. R package version 1.0-5, https://cran.r-project.org/web/packages/hmmm. Accessed 25 Feb. 2025.
Previous versions and publish date:
1.0-1 (2013-02-15 17:02), 1.0-2 (2014-01-08 15:38), 1.0-3 (2014-08-14 18:06), 1.0-4 (2018-03-14 12:27), 1.0.0 (2012-11-17 20:41)
Other packages that cited hmmm R package
View hmmm citation profile
Other R packages that hmmm depends, imports, suggests or enhances
Complete documentation for hmmm
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