Description Usage Arguments Value
Statistical inference for comparing empirical and expectec ROCs. If CI=TRUE then also returns pointwise CIs
1 2 3 4 5 6 7 8 9 | mROC_inference(
y,
p,
n_sim = 1e+05,
CI = FALSE,
aux = FALSE,
fast = TRUE,
conditional = FALSE
)
|
y |
vector of binary response values |
p |
vector of probabilities |
n_sim |
number of Monte Carlo simulations to calculate p-value |
CI |
whether confidence interval should be alculated for each point of mROC |
Returns the aurea under the mROC curve
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