auc_boot: Bootstrap AUCs

In fullROC: Plot Full ROC Curves using Eyewitness Lineup Data

Description

A function to simulate bootstrap samples and calculate AUC.

Usage

auc_boot(
  data,
  group = NULL,
  nboot = 1000,
  byDR = FALSE,
  ca_adj = FALSE,
  lsize = 6,
  csize = 3
)

Arguments

data	A data frame or matrix saving both cp and ca frequencies. cp must precede ca.
group	A vector indicating group membership. Will calculate AUCs by group.
nboot	Number of bootstrap iterations for each group. Defaults to 1,000.
byDR	Whether to order ids by diagnosticity ratios. Defaults to FALSE.
ca_adj	Whether to adjust id rates for ca lineups after simulating a sample from the unadjusted rates.
lsize	Size of lineup (used to adjust id rates). Defaults to 6.
csize	Number of confidence levels (used to adjust id rates). Defaults to 3.

Value

A list with simulated AUCs.

Examples

cpf <- c(100, 90, 80, 20, 10, 5)
caf <- c(6, 7, 15, 50, 75, 120)
auc_boot(cbind(cpf, caf), nboot = 100)

fullROC documentation built on Jan. 16, 2021, 5:40 p.m.