View source: R/SimulateRocDataset.R
SimulateRocDataset | R Documentation |
Simulates an uncorrelated binormal model ROC factorial dataset
SimulateRocDataset(I = 1, J = 1, K1, K2, a, deltaA = 0, b, seed = NULL)
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 |
|
deltaA |
Inter-modality increment in the |
b |
|
seed |
Initial seed, default is NULL, for random seed |
See book Chapter 6 for details
An ROC dataset
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
K1 <- 5;K2 <- 7;a <- 1.5;b <- 0.5
rocDataRaw <- SimulateRocDataset(K1 = K1, K2 = K2, a = a, b = b)
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