metadata_to_DrawCurve_MRMC: Create metadata for MRMC data
In BayesianFROC: FROC Analysis by Bayesian Approaches

From data of number of hits and false alarms, we calculate the number of cumulative false positives and hits. Since there are three subscripts, reader, modality, and image, we create array format and vector format etc...

1	metadata_to_DrawCurve_MRMC(StanS4class, mesh.for.drawing.curve = 5000)

StanS4class

An S4 object of class stanfitExtended which is an inherited class from the S4 class stanfit. This R object is a fitted model object as a return value of the function fit_Bayesian_FROC().

To be passed to DrawCurves() ... etc

mesh.for.drawing.curve

A positive large integer, indicating number of dots drawing the curves, Default =10000.

A metadata such as number of cumulative false alarms and hits to create and draw the curve.

BayesianFROC documentation built on Jan. 23, 2022, 9:06 a.m.