AUC: Area under ROC curve from sensitivities and specificities
In ROC632: Construction of diagnostic or prognostic scoring system and internal validation of its discriminative capacities based on ROC curve and 0.633+ boostrap resampling.

This function computes the area under ROC curve by using the trapezoidal rule.

1	AUC(sens, spec)

`sens`	A numeric vector with the sensitivities
`spec`	A numeric vector with the sensitivities

This function computes the area under ROC curve using the trapezoidal rule. The value of the area is directly returned.

Y. Foucher <Yohann.Foucher@univ-nantes.fr>

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se.temp <- c(0, 0.5, 0.5, 1)
sp.temp <- c(1, 0.5, 0.5, 0)
AUC(se.temp, sp.temp)

ROC632 documentation built on May 2, 2019, 3:41 p.m.

ROC632 index

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