R: Hierarchical Multinomial Marginal Models

# Hierarchical Multinomial Marginal Models

## Documentation for package ‘hmmm’ version 1.0-5

- 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.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 hyerarchical family of marginal sets
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 generalizedmarginal 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.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.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'