Nothing
ljr11 <- function(y,n,tm,X=NULL,ofst=0,R=1000)
{
if (sum(duplicated(tm))>0){
cat("Error: duplicated observation times\n")
}
else{
if ((is.null(X)==FALSE)&&(is.matrix(X)==FALSE))
X=as.matrix(X)
if (is.unsorted(tm)==TRUE){
o=order(tm)
y=y[o]
n=n[o]
tm=tm[o]
if (is.null(X)==FALSE)
X=as.matrix(X[o,])
if ((length(ofst)>1)||(ofst[1]!=0))
ofst=ofst[o]
}
N=length(y)
m=ncol(X)
if (is.null(m))
m=0
or.ofst=ofst
if (length(ofst)==1)
ofst=as.double(rep(ofst,N))
else
ofst=as.double(ofst)
out=.C("ljr11",as.double(y),as.double(n),as.double(tm),as.double(X),ofst,N,m,as.integer(R),p=double(m+2),PACKAGE="ljr")
cat('Model:\n')
cat('y~Binom(n,p) where p=invlogit(eta)\n')
if (m>0){
if (is.null(dimnames(X)[[2]])==FALSE)
m.variables=dimnames(X)[[2]]
else
m.variables=paste("X",1:ncol(X),sep="")
}
else
m.variables=NULL
m.variables=c('Intercept',m.variables)
t.variables=c('t','max(t-tau1,0)')
if ((or.ofst[1]==0)&(length(or.ofst)==1))
cat('eta=b0')
else
cat('eta=ofst+b0')
if (length(m.variables)>1)
for (i in 2:length(m.variables))
cat(paste(paste('+b',i-1,sep=""),'*',m.variables[i],sep=""))
for (i in 0:(length(t.variables)-1))
cat(paste(paste('+g',i,sep=""),'*',t.variables[i+1],sep=""))
cat("\n\n")
if (length(m.variables)>1)
f1=data.frame(Variables=c(m.variables[-1],'Intercept','tm'),p.values=out$p)
else
f1=data.frame(Variables=c('Intercept','tm'),p.values=out$p)
print(f1)
return(list(pvals=out$p))
}
}
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