rocsum | R Documentation |
The rocsum
function returns the ROC curves with
coordinates, Area Under the Curves of markers and combination score, Area Under
the Curve comparison of markers and combination score, Confusion matrices for both
markers and combination score with the cutoff values derived from the ROC Curves.
rocsum(
markers = NULL,
comb.score = NULL,
status = NULL,
event = NULL,
direction = c("auto", "<", ">"),
conf.level = 0.95,
cutoff.method = c("CB", "MCT", "MinValueSp", "MinValueSe", "ValueSp", "ValueSe",
"MinValueSpSe", "MaxSp", "MaxSe", "MaxSpSe", "MaxProdSpSe", "ROC01", "SpEqualSe",
"Youden", "MaxEfficiency", "Minimax", "MaxDOR", "MaxKappa", "MinValueNPV",
"MinValuePPV", "ValueNPV", "ValuePPV", "MinValueNPVPPV", "PROC01", "NPVEqualPPV",
"MaxNPVPPV", "MaxSumNPVPPV", "MaxProdNPVPPV", "ValueDLR.Negative",
"ValueDLR.Positive", "MinPvalue", "ObservedPrev", "MeanPrev", "PrevalenceMatching"),
show.plot = show.plot
)
markers |
a |
comb.score |
a matrix of |
status |
a |
event |
a |
direction |
a |
conf.level |
a |
cutoff.method |
a |
show.plot |
a |
A list of numeric
ROC Curves, AUC statistics and Confusion
matrices.
Serra Ilayda Yerlitas, Serra Bersan Gengec, Necla Kochan, Gozde Erturk Zararsiz, Selcuk Korkmaz, Gokmen Zararsiz
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