## ----echo=FALSE,eval=FALSE----------------------------------------------------
# options(width=80)
# rm(list=ls(all=TRUE))

## ----results='hide',eval=FALSE------------------------------------------------
# library(catdata)
# data(knee)
# attach(knee)

## ----eval=FALSE---------------------------------------------------------------
# Age <- Age - 30
# Age2 <- Age^2

## ----eval=FALSE---------------------------------------------------------------
# k <- length(unique(R4))
# R4rev <- k + 1 - R4

## ----eval=FALSE---------------------------------------------------------------
# R4 <- as.ordered(R4)
# R4rev <- as.ordered(R4rev)
# Th <- as.factor(Th)
# Sex <- as.factor(Sex)

## ----eval=FALSE---------------------------------------------------------------
# library(VGAM)

## ----eval=FALSE---------------------------------------------------------------
# clogit <- vglm(R4 ~ Th + Sex + Age +Age2, family = cumulative (link="logitlink",
# parallel=TRUE))

## ----eval=FALSE---------------------------------------------------------------
# cprobit <- vglm(R4 ~ Th + Sex + Age +Age2, family = cumulative (link="probitlink",
# parallel=TRUE))

## ----eval=FALSE---------------------------------------------------------------
# cgumbel <- vglm(R4rev ~ Th + Sex + Age +Age2, family = cumulative(link="clogloglink",
# parallel=TRUE))

## ----eval=FALSE---------------------------------------------------------------
# cgompertz <- vglm(R4 ~ Th + Sex + Age +Age2, family = cumulative(link="clogloglink",
# parallel=TRUE))

## ----eval=FALSE---------------------------------------------------------------
# deviance(clogit)
# deviance(cprobit)
# deviance(cgumbel)
# deviance(cgompertz)

## ----eval=FALSE---------------------------------------------------------------
# slogit <- vglm(R4 ~ Th + Sex + Age +Age2, family = sratio (link="logitlink",
# parallel=TRUE))

## ----eval=FALSE---------------------------------------------------------------
# sprobit <- vglm(R4 ~ Th + Sex + Age +Age2, family = sratio (link="probitlink",
# parallel=TRUE))

## ----eval=FALSE---------------------------------------------------------------
# sgumbel <- vglm(R4rev ~ Th + Sex + Age +Age2, family = sratio (link="clogloglink",
# parallel=TRUE))

## ----eval=FALSE---------------------------------------------------------------
# sgompertz <- vglm(R4 ~ Th + Sex + Age +Age2, family = sratio (link="clogloglink",
# parallel=TRUE))

## ----eval=FALSE---------------------------------------------------------------
# deviance(slogit)
# deviance(sprobit)
# deviance(sgumbel)
# deviance(sgompertz)

## ----echo=FALSE,eval=FALSE----------------------------------------------------
# detach(package:VGAM)

