hmmm: hierarchical multinomial marginal models

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.

Author
Colombi Roberto and Sabrina Giordano and Manuela Cazzaro, with contributions from Joseph Lang
Date of publication
2014-08-14 18:06:17
Maintainer
Colombi Roberto <colombi@unibg.it>
License
GPL (>= 2)
Version
1.0-3
URLs

View on CRAN

Man pages

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
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
hmmm-package
package hmmm
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
recursive
recursive marginal interactions
relpol
religion and political orientation data
relpolbirth
religion, political orientation and teenage birth control...
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'

Files in this package

hmmm
hmmm/inst
hmmm/inst/CITATION
hmmm/inst/doc
hmmm/inst/doc/tutorial.pdf
hmmm/inst/doc/tutorial.R
hmmm/inst/doc/tutorial.rnw
hmmm/NAMESPACE
hmmm/demo
hmmm/demo/hiddenMarkov.R
hmmm/demo/relpolbirth_loglinear.r
hmmm/demo/kentucky_hmmm_inequality.r
hmmm/demo/polbirth_monotone.r
hmmm/demo/custservtraining_doublemonotone.r
hmmm/demo/mph_inequality.r
hmmm/demo/00Index
hmmm/demo/accident_covariate.r
hmmm/demo/relpol_recursive.r
hmmm/NEWS
hmmm/data
hmmm/data/polbirth.rda
hmmm/data/relpol.rda
hmmm/data/accident.rda
hmmm/data/madsen.rda
hmmm/data/drinks.rda
hmmm/data/kentucky.rda
hmmm/data/relpolbirth.rda
hmmm/data/depression.rda
hmmm/R
hmmm/R/mph_ineq.R
hmmm/R/hidden.R
hmmm/R/margmod.R
hmmm/vignettes
hmmm/vignettes/tutorial.rnw
hmmm/vignettes/bibJSS.bib
hmmm/MD5
hmmm/build
hmmm/build/vignette.rds
hmmm/DESCRIPTION
hmmm/man
hmmm/man/polbirth.Rd
hmmm/man/recursive.Rd
hmmm/man/summary.hidden.Rd
hmmm/man/print.hmmmfit.Rd
hmmm/man/anova.hidden.Rd
hmmm/man/hmmm.mlfit.Rd
hmmm/man/marg.list.Rd
hmmm/man/hmmm.model.Rd
hmmm/man/create.XMAT.Rd
hmmm/man/accident.Rd
hmmm/man/relpolbirth.Rd
hmmm/man/mphineq.fit.Rd
hmmm/man/akaike.Rd
hmmm/man/hmmm.model.X.Rd
hmmm/man/relpol.Rd
hmmm/man/summary.mphfit.Rd
hmmm/man/hidden.emfit.Rd
hmmm/man/print.hmmmchibar.Rd
hmmm/man/depression.Rd
hmmm/man/kentucky.Rd
hmmm/man/drinks.Rd
hmmm/man/hmmm.chibar.Rd
hmmm/man/getnames.Rd
hmmm/man/loglin.model.Rd
hmmm/man/hmmm-package.Rd
hmmm/man/summary.hmmmchibar.Rd
hmmm/man/anova.hmmmfit.Rd
hmmm/man/madsen.Rd
hmmm/man/summary.hmmmfit.Rd
hmmm/man/summary.hmmmmod.Rd
hmmm/man/print.hidden.Rd