SimulateRocDataset: Simulates a binormal model ROC dataset

In dpc10ster/rjafroc: Artificial Intelligence Systems and Observer Performance

Simulates a binormal model ROC dataset

Description

Simulates an uncorrelated binormal model ROC factorial dataset

Usage

SimulateRocDataset(I = 1, J = 1, K1, K2, a, deltaA = 0, b, seed = NULL)

Arguments

I	Number of modalities, default 1
J	The number of readers, default 1
K1	Number of non-diseased cases
K2	Number of diseased cases
a	a parameter of binormal model
deltaA	Inter-modality increment in the a parameter, default zero
b	b parameter of the binormal model
seed	Initial seed, default is NULL, for random seed

Details

See book Chapter 6 for details

Value

An ROC dataset

References

Chakraborty DP (2017) Observer Performance Methods for Diagnostic Imaging - Foundations, Modeling, and Applications with R-Based Examples, CRC Press, Boca Raton, FL. https://www.routledge.com/Observer-Performance-Methods-for-Diagnostic-Imaging-Foundations-Modeling/Chakraborty/p/book/9781482214840

Examples

K1 <- 5;K2 <- 7;a <- 1.5;b <- 0.5
rocDataRaw <- SimulateRocDataset(K1 = K1, K2 = K2, a = a, b = b)
  

dpc10ster/rjafroc documentation built on Jan. 18, 2024, 4:37 a.m.