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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()
.These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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