The AUC values are computed by approximation using the area of the polygons formed under the ROC curve.
auc(pred, labels, nc = 200L, nine_na = TRUE)# S3 method for aphylo_auc
print(x, ...)
# S3 method for aphylo_auc
plot(x, y = NULL, ...)
A list:
tpr A vector of length nc with the True Positive Rates.
tnr A vector of length nc with the True Negative Rates.
fpr A vector of length nc with the False Positive Rates.
fnr A vector of length nc with the False Negative Rates.
auc A numeric value. Area Under the Curve.
cutoffs A vector of length nc with the cutoffs used.
A numeric vector with the predictions of the model. Values must range between 0 and 1.
An integer vector with the labels (truth). Values should be either 0 or 1.
Integer. Number of cutoffs to use for computing the rates and AUC.
Logical. When TRUE, 9 is treated as NA.
An object of class aphylo_auc.
Further arguments passed to the method.
Ignored.
set.seed(8381)
x <- rdrop_annotations(raphylo(50), .3)
ans <- aphylo_mcmc(x ~ mu_d + mu_s + Pi)
ans_auc <- auc(predict(ans, loo = TRUE), x[,1,drop=TRUE])
print(ans_auc)
plot(ans_auc)
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