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##### internal functions from Dr. Tibshirani's software package GSA
coxstuff <-
function(x, y, ic, offset = rep(0., length(y)))
{
fail.times <- unique(y[ic == 1.])
nf <- length(fail.times)
n <- length(y)
nn <- rep(0., nf)
nno <- rep(0., nf)
for(i in 1.:nf) {
nn[i] <- sum(y >= fail.times[i])
nno[i] <- sum(exp(offset)[y >= fail.times[i]])
}
s <- matrix(0., ncol = nf, nrow = nrow(x))
d <- rep(0., nf)
#expand d out to a vector of length n
for(i in 1.:nf) {
o <- (1.:n)[(y == fail.times[i]) & (ic == 1.)]
d[i] <- length(o)
}
oo <- match(y, fail.times)
oo[ic==0]<-NA
oo[is.na(oo)]<- max(oo[!is.na(oo)])+1
s<-t(rowsum(t(x),oo))
if(ncol(s)> nf){s<-s[,-ncol(s)]}
dd <- rep(0., n)
for(j in 1.:nf) {
dd[(y == fail.times[j]) & (ic == 1.)] <- d[j]
}
return(list(fail.times=fail.times, s=s, d=d, dd=dd, nf=nf, nn=nn, nno=nno))
}
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