hmmm: hierarchical multinomial marginal models
Version 1.0-3

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.

AuthorColombi Roberto and Sabrina Giordano and Manuela Cazzaro, with contributions from Joseph Lang
Date of publication2014-08-14 18:06:17
MaintainerColombi Roberto <colombi@unibg.it>
LicenseGPL (>= 2)
Version1.0-3
URL http://www.r-project.org
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("hmmm")

Getting started

Package overview

Popular man pages

accident: factory accident data
hmmm.chibar: chi-bar statistic test for hmm models
hmmm.model.X: hmm model with covariates effect on parameters
kentucky: Kentucky traffic accident data
madsen: Madsen data
summary.hmmmchibar: summary for hmmm.chibar
summary.hmmmmod: summary and print for the class hmmmmod
See all...

All man pages Function index File listing

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'

Functions

BLHK.filter Source code
Fchibar2 Source code
LDMatrix Source code
accident Man page
akaike Man page Source code
anova.hidden Man page Source code
anova.hmmmfit Man page Source code
bar.col.for Source code
bcf.interactions Source code
chibar Source code
chibar.summary Source code
cocadise Source code
cocamat Source code
cocamod Source code
create.U Source code
create.XMAT Man page Source code
depression Man page
direct.sum Source code
drinks Man page
getnames Man page Source code
hidden.emfit Man page Source code
hidden.emfit.S Source code
hidden.emfit.X Source code
hmm.hmm.anova Source code
hmmm-package Man page
hmmm.chibar Man page Source code
hmmm.hmmm.anova Source code
hmmm.mlfit Man page Source code
hmmm.model Man page Source code
hmmm.model.X Man page Source code
hmmm.model.summary Source code
hmmm.testAB Source code
kentucky Man page
kudo.classic Source code
loglin.model Man page Source code
madsen Man page
make.L.fct Source code
make.d.fct Source code
make.derLt.fct Source code
make.derdt.fct Source code
make.derht.fct Source code
make.h.fct Source code
marg.list Man page Source code
model.summary Source code
mphineq.fit Man page Source code
num.deriv.fct Source code
pesi.sim Source code
polbirth Man page
pop Source code
print.hidden Man page Source code
print.hmmmchibar Man page Source code
print.hmmmfit Man page Source code
print.hmmmmod Man page Source code
print.mphfit Man page Source code
pw.set Source code
qchibar Source code
recursive Man page Source code
relpol Man page
relpolbirth Man page
summary.hidden Man page Source code
summary.hmmmchibar Man page Source code
summary.hmmmfit Man page Source code
summary.hmmmmod Man page Source code
summary.mphfit Man page Source code
testDF Source code

Files

inst
inst/CITATION
inst/doc
inst/doc/tutorial.pdf
inst/doc/tutorial.R
inst/doc/tutorial.rnw
NAMESPACE
demo
demo/hiddenMarkov.R
demo/relpolbirth_loglinear.r
demo/kentucky_hmmm_inequality.r
demo/polbirth_monotone.r
demo/custservtraining_doublemonotone.r
demo/mph_inequality.r
demo/00Index
demo/accident_covariate.r
demo/relpol_recursive.r
NEWS
data
data/polbirth.rda
data/relpol.rda
data/accident.rda
data/madsen.rda
data/drinks.rda
data/kentucky.rda
data/relpolbirth.rda
data/depression.rda
R
R/mph_ineq.R
R/hidden.R
R/margmod.R
vignettes
vignettes/tutorial.rnw
vignettes/bibJSS.bib
MD5
build
build/vignette.rds
DESCRIPTION
man
man/polbirth.Rd
man/recursive.Rd
man/summary.hidden.Rd
man/print.hmmmfit.Rd
man/anova.hidden.Rd
man/hmmm.mlfit.Rd
man/marg.list.Rd
man/hmmm.model.Rd
man/create.XMAT.Rd
man/accident.Rd
man/relpolbirth.Rd
man/mphineq.fit.Rd
man/akaike.Rd
man/hmmm.model.X.Rd
man/relpol.Rd
man/summary.mphfit.Rd
man/hidden.emfit.Rd
man/print.hmmmchibar.Rd
man/depression.Rd
man/kentucky.Rd
man/drinks.Rd
man/hmmm.chibar.Rd
man/getnames.Rd
man/loglin.model.Rd
man/hmmm-package.Rd
man/summary.hmmmchibar.Rd
man/anova.hmmmfit.Rd
man/madsen.Rd
man/summary.hmmmfit.Rd
man/summary.hmmmmod.Rd
man/print.hidden.Rd
hmmm documentation built on May 19, 2017, 4:21 p.m.

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