method from
mrmc(), srmc(), and stmc().mrmc().bichisquare column to bichisquared
in binormalLR_curve.proproc_roc(),
proproc_sens(), and proproc_spec().method to cov in
mrmc(), srmc(), and stmc().OR_to_RMH() and RMH_to_OR()
for conversion from Obuchowski-Rockette to Roe, Metz & Hillis model
parameters and vice versa.binormal_eu(),
binormalLR_eu(), and empirical_eu().sens,
spec, and auc metrics.pROC calculation of
empirical ROC AUC to allow values < 0.5.mrmc() support for single readers.proproc functions to
binormalLR.parameters() method function for mrmc
output.roc_curves() method function for srmc
output.normalize argument to auc()
metrics.srmc() function for single-reader (multi-test)
multi-case analysis.stmc() function for single-reader (single-test)
multi-case analysis.proproc_sens() and proproc_spec() to
use proproc instead of empirical curves.smmc() for single reader multiple case
analysis.parameters() function to extract ROC curve
parameters from roc_curves() results.mrmc() by event/non-event cases
for binary_sens()/binary_spec() metrics.coord_fixed argument to plot()
methods.mean() method for binormal_curves to
average over their ROC curve parameters.binary_sens() and binary_spec()
metrics.points() methods.roc_curves() function for construction of ROC
curves and method functions points() for calculating points
on the curves, mean() for averaging multiple curves, and
plot() for displaying them graphically.roc() and proproc().
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