Man pages for COUNT
Functions, Data and Code for Count Data

affairsaffairs
azcabgptcaazcabgptca
azdrg112azdrg112
azproazpro
azprocedureazprocedure
badhealthbadhealth
fasttrakgfasttrakg
fishingfishing
lbwlbw
lbwgrplbwgrp
logit_synLogistic regression : generic synthetic binary/binomial...
loomisloomis
mdvismdvis
medparmedpar
ml.nb1NB1: maximum likelihood linear negative binomial regression
ml.nb2NB2: maximum likelihood linear negative binomial regression
ml.nbcNBC: maximum likelihood linear negative binomial regression
ml.poisNB2: maximum likelihood Poisson regression
modelfitFit Statistics for generalized linear models
myTableFrequency table
nb1_synNegative binomial (NB1): generic synthetic linear negative...
nb2.obs.predTable of negative binomial counts: observed vs predicted...
nb2_synNegative binomial (NB2): generic synthetic negative binomial...
nbc_synNegative binomial (NB-C): generic synthetic canonical...
nutsnuts
poi.obs.predTable of Poisson counts: observed vs predicted proportions...
poisson_synPoisson : generic synthetic Poisson data and model
probit_synProbit regression : generic synthetic binary/binomial probit...
rwmrwm
rwm1984rwm1984
rwm5yrrwm5yr
shipsships
smokingsmoking
titanictitanic
titanicgrptitanicgrp
COUNT documentation built on May 29, 2017, 3:47 p.m.