Nothing

```
##### internal functions from Dr. Tibshirani's software package GSA
coxscor <-
function(x, y, ic, offset = rep(0., length(y)))
{
# computes cox scor function for rows of nx by n matrix x
# first put everything in time order
n <- length(y)
nx <- nrow(x)
yy <- y + (ic == 0.) * (1e-05)
otag <- order(yy)
y <- y[otag]
ic <- ic[otag]
x <- x[, otag, drop = F]
#compute unique failure times, d=# of deaths at each failure time,
#dd= expanded version of d to length n, s=sum of covariates at each
# failure time, nn=#obs in each risk set, nno=sum(exp(offset)) at each failure time
offset <- offset[otag]
a <- coxstuff(x, y, ic, offset = offset)
nf <- a$nf
fail.times <- a$fail.times
s <- a$s
d <- a$d
dd <- a$dd
nn <- a$nn
nno <- a$nno
w <- rep(0., nx)
for(i in (1.:nf)) {
w <- w + s[, i]
oo<- (1.:n)[y >= fail.times[i]]
r<-rowSums(x[, oo, drop = F] * exp(offset[oo]))
w<- w - (d[i]/nno[i])*r
}
return(list(scor = w, coxstuff.obj = a))
}
```

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