Package: hmmm 1.0-5

Roberto Colombi

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.

Authors:Roberto Colombi [aut, cre], Sabrina Giordano [aut], Manuela Cazzaro [aut], Joseph Lang [ctb]

hmmm_1.0-5.tar.gz
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hmmm_1.0-5.tgz(r-4.4-emscripten)hmmm_1.0-5.tgz(r-4.3-emscripten)
hmmm.pdf |hmmm.html✨
hmmm/json (API)
NEWS

# Install 'hmmm' in R:

install.packages('hmmm', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Datasets:

accident - Factory accident data
depression - Longitudinal study of mental depression
drinks - Soft-drinks data
kentucky - Kentucky traffic accident data
madsen - Madsen data
polbirth - Political orientation and teenage birth control data
relpol - Religion and political orientation data
relpolbirth - Religion, political orientation and teenage birth control data

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.73 score 54 scripts 604 downloads 13 exports 4 dependencies

Last updated 6 months agofrom:d8c6e9e851. Checks:OK: 2. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Nov 10 2024
R-4.5-linux	OK	Nov 10 2024

Exports:akaike create.XMAT getnames GMI hmmm.chibar hmmm.mlfit hmmm.model hmmm.model.X inv_GMI loglin.model marg.list mphineq.fit recursive

Dependencies:MASS mvtnorm nleqslv quadprog

hmmm

Rendered fromtutorial.rnwusingutils::Sweaveon Nov 10 2024.

Last update: 2014-08-14
Started: 2014-08-14

Help page	Topics
package hmmm	hmmm-package
factory accident data	accident
akaike criterium	akaike
anova for the class hmmmfit	anova.hmmmfit
design matrix for a hmm model	create.XMAT
longitudinal study of mental depression	depression
soft-drinks data	drinks
vector of frequencies from a data frame	getnames
Function to compute the generalized marginal interactions associated to a hyerarchical family of marginal sets	GMI
chi-bar statistic test for hmm models	hmmm.chibar
fit a hmm model	hmmm.mlfit
define a hmm model	hmmm.model
hmm model with covariates effect on parameters	hmmm.model.X
Function to compute a vector of joint probabilities from a vector of generalizedmarginal interactions (GMI)	inv_GMI
Kentucky traffic accident data	kentucky
define a log-linear model	loglin.model
Madsen data	madsen
lists of marginal sets	marg.list
fit mph models under inequality constraints	mphineq.fit
political orientation and teenage birth control data	polbirth
print for hmmm.chibar	print.hmmmchibar
print for the class hmmmfit	print.hmmmfit
recursive marginal interactions	recursive
religion and political orientation data	relpol
religion, political orientation and teenage birth control data	relpolbirth
summary for hmmm.chibar	summary.hmmmchibar
summary for the class hmmmfit	summary.hmmmfit
summary and print for the class hmmmmod	print.hmmmmod summary.hmmmmod
summary and print for the class 'mphfit'	print.mphfit summary.mphfit

Package: hmmm 1.0-5

hmmm: Hierarchical Multinomial Marginal Models

hmmm

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