Nothing
## ----results='hide',eval=TRUE-------------------------------------------------
library(catdata)
data(medcare)
attach(medcare)
## ----eval=TRUE----------------------------------------------------------------
med1=glm(ofp ~ hosp+healthpoor+healthexcellent+numchron+age+married+school,
family=poisson,data=medcare[male==1 & ofp<=30,])
summary(med1)
## ----eval=TRUE----------------------------------------------------------------
med2=glm(ofp ~ hosp+healthpoor+healthexcellent+numchron+age+married+school,
family=quasipoisson,data=medcare[male==1 & ofp<=30,])
summary(med2)
## ----eval=TRUE----------------------------------------------------------------
library(MASS)
med3=glm.nb(ofp ~ hosp+healthpoor+healthexcellent+numchron+age+married+school,
data=medcare[male==1 & ofp<=30,])
summary(med3)
## ----eval=TRUE----------------------------------------------------------------
## ----results='hide',eval=TRUE-------------------------------------------------
library(pscl)
## ----eval=TRUE----------------------------------------------------------------
med4=zeroinfl(ofp ~ hosp+healthpoor+healthexcellent+numchron+age+married+school|1,
data=medcare[male==1 & ofp<=30,])
summary(med4)
## ----eval=TRUE----------------------------------------------------------------
med5=zeroinfl(ofp ~ hosp+healthpoor+healthexcellent+numchron+age+married+school,
data=medcare[male==1 & ofp<=30,])
summary(med5)
## ----eval=TRUE----------------------------------------------------------------
med6=hurdle(ofp ~ hosp+healthpoor+healthexcellent+numchron+age+married+school|1
,data=medcare[male==1 & ofp<=30,])
summary(med6)
## ----eval=TRUE----------------------------------------------------------------
med7=hurdle(ofp ~ hosp+healthpoor+healthexcellent+numchron+age+married+school,
data=medcare[male==1 & ofp<=30,])
summary(med7)
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