mROC_inference: Statistical inference for comparing empirical and expected...

In predtools: Prediction Model Tools

Statistical inference for comparing empirical and expected ROCs. If CI=TRUE then also returns pointwise CIs

Description

Statistical inference for comparing empirical and expected ROCs. If CI=TRUE then also returns pointwise CIs

Usage

mROC_inference(y, p, n_sim = 1e+05, CI = FALSE, aux = FALSE, fast = TRUE)

Arguments

y	vector of binary response values
p	vector of probabilities
n_sim	number of Monte Carlo simulations to calculate p-value
CI	optional. Whether confidence interval should be calculated for each point of mROC. Default is FALSE.
aux	aux optional. whether additional results (component-wise p-values etc) should be written in the package's aux variable. Default is FALSE.
fast	fast optional. Whether the fast code (C++) or slow code (R) should be called. Default is TRUE (R code will be slow unless the dataset is small)

Value

Returns an object of type mROC_inference containing the results of statistical inference for the mROC curve

predtools documentation built on June 7, 2023, 5:58 p.m.