plot_empirical_ROC_curves: Empirical ROC curve

Description Usage Arguments Details

View source: R/plot_empirical_ROC_curves.R

Description

Empirical ROC curve

Usage

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plot_empirical_ROC_curves(
  Number_of_cases = 100,
  Number_of_non_cases = 100,
  frequencies_of_non_cases = stats::rmultinom(1, size = Number_of_cases, prob = c(0.1,
    0.2, 0.3, 0, 5)),
  frequencies_of_cases = stats::rmultinom(1, size = Number_of_non_cases, prob = c(0.4,
    0.3, 0.2, 0, 1))
)

Arguments

Number_of_cases

Number_of_cases

Number_of_non_cases

Number_of_non_cases

frequencies_of_non_cases

frequencies_of_non_cases

frequencies_of_cases

frequencies_of_cases

Details

Suppose that there is a K categories and data are drawn from two multinomial distributions of size n,m.

h_1,h_2,...,h_K, Σ h_i = n,

f_1,f_2,...,f_K,Σ f_i = m.

Then this plots the cumulative sums.


BayesianFROC documentation built on Jan. 13, 2021, 5:22 a.m.