Using pROC package in R to obtain CI for SP and SN from specific threshold

Using the pROC package, is anyone aware of a way to get confidence intervals for SP and SN with an input of a specific threshold value, rather than a specific SP or SN value? ci() appears to only display SP and SN values using their corresponding SN or SP's as an argument; I can ask for the CI of SP at an SN of 0.8, but not for the CI of SP at a threshold value of 9.0.

I understand that I can just find the SP/SN values for a threshold and then use these as arguments for ci(), but that seems clumsy. Of course, this may just end up being a question for the package developers.

Thanks in advance for any help you can provide.

Confidence intervals for SN and SP can be calculated for specified thresholds as an option when the roc object is first created as well as from ci.thresholds(rocobj, thresholds=0.9)

With sample data from the help files for pROC:

library(pROC)
data(aSAH)

rocobj <- roc(aSAH$outcome, aSAH$s100b, ci=TRUE, of="thresholds", thresholds=0.9)

giving

95% CI (2000 stratified bootstrap replicates):
 thresholds sp.low sp.median sp.high se.low se.median se.high
        0.9      1         1       1      0   0.04878   0.122