Hierarchical Multinomial Marginal Models

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Documentation for package ‘hmmm’ version 1.0-4

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Code demos. Use demo() to run them.
• Package NEWS.

Help Pages

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