R: Functions, Data and Code for Count Data

# Functions, Data and Code for Count Data

## Documentation for package ‘COUNT’ version 1.3.5

- DESCRIPTION file

## Help Pages

affairs | affairs
azcabgptca | azcabgptca
azdrg112 | azdrg112
azpro | azpro
azprocedure | azprocedure
badhealth | badhealth
fasttrakg | fasttrakg
fishing | fishing
lbw | lbw
lbwgrp | lbwgrp
logit_syn | Logistic regression : generic synthetic binary/binomial logistic data and model
loomis | loomis
mdvis | mdvis
medpar | medpar
ml.nb1 | NB1: maximum likelihood linear negative binomial regression
ml.nb2 | NB2: maximum likelihood linear negative binomial regression
ml.nbc | NBC: maximum likelihood linear negative binomial regression
ml.pois | NB2: maximum likelihood Poisson regression
modelfit | Fit Statistics for generalized linear models
myTable | Frequency table
nb1_syn | Negative binomial (NB1): generic synthetic linear negative binomial data and model
nb2.obs.pred | Table of negative binomial counts: observed vs predicted proportions and difference
nb2_syn | Negative binomial (NB2): generic synthetic negative binomial data and model
nbc_syn | Negative binomial (NB-C): generic synthetic canonical negative binomial data and model
nuts | nuts
poi.obs.pred | Table of Poisson counts: observed vs predicted proportions and difference
poisson_syn | Poisson : generic synthetic Poisson data and model
probit_syn | Probit regression : generic synthetic binary/binomial probit data and model
rwm | rwm
rwm1984 | rwm1984
rwm5yr | rwm5yr
ships | ships
smoking | smoking
titanic | titanic
titanicgrp | titanicgrp