pROC package：

ci()函数

#例子

data(aSAH)

# Syntax (response, predictor):

ci(aSAH$outcome, aSAH$s100b)

# With a roc object:

rocobj <- roc(aSAH$outcome,aSAH$s100b)

# Of an AUC

ci(rocobj)

ci(rocobj, of="auc")

# this is strictly equivalent to:

ci.auc(rocobj)

# Of thresholds, sp, se...

## Not run:

ci(rocobj,of="thresholds")

ci(rocobj,of="thresholds", thresholds=0.51)

ci(rocobj,of="thresholds", thresholds="all")

ci(rocobj, of="sp",sensitivities=c(.95, .9, .85))

ci(rocobj, of="se")

# Alternatively, you can get the CIdirectly from roc():

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

rocobj$ci