## ----echo=FALSE,eval=FALSE---------------------------------------------------- # options(width=80) ## ----results='hide',eval=FALSE------------------------------------------------ # library(catdata) # data(kneesequential) # data(kneecumulative) ## ----eval=FALSE--------------------------------------------------------------- # kneesequential$Age <- kneesequential$Age - 30 # kneesequential$Age2 <- kneesequential$Age^2 # # kneecumulative$Age <- kneecumulative$Age - 30 # kneecumulative$Age2<-kneecumulative$Age^2 ## ----eval=FALSE--------------------------------------------------------------- # library(lme4) ## ----eval=FALSE--------------------------------------------------------------- # seqGH<-glmer(y~-1+Icept1+Icept2+Icept3+Icept4+Th+Age+Age2+(1|Person), # family=binomial(link=logit),data=kneesequential, nAGQ = 25) # summary(seqGH) ## ----eval=FALSE--------------------------------------------------------------- # library(MASS) ## ----eval=FALSE--------------------------------------------------------------- # seqPQL<-glmmPQL(y ~-1+Icept1+Icept2+Icept3+Icept4+Th+Age+Age2, # random=list(Person=~1), family=binomial(link=logit), data=kneesequential, niter=30) # summary(seqPQL) ## ----eval=FALSE--------------------------------------------------------------- # library(ordinal) ## ----eval=FALSE--------------------------------------------------------------- # cumGH<-clmm2(as.factor(y)~1+Th+Age+Age2, random = as.factor(Person), data = # kneecumulative, link = "logistic",nAGQ=25,start=c(-5,-3,3,5,rep(0.001,4)),Hess=TRUE) # summary(cumGH) ## ----eval=FALSE--------------------------------------------------------------- # cumLP<-clmm2(as.factor(y)~1+Th+Age+Age2, random = as.factor(Person), data = # kneecumulative, link = "logistic",start=c(-5,-3,3,5,rep(0.001,4)), Hess = TRUE) # summary(cumLP) ## ----echo=FALSE,eval=FALSE---------------------------------------------------- # detach(package:ordinal) ## ----echo=FALSE,eval=FALSE---------------------------------------------------- # detach(package:lme4)