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parametric ROC curve

version 1.0.0.0 (6.32 KB) by Leonidas Bantis
Constructs the parametric ROC curve based on parametric choices provided by the user.

6 Downloads

Updated 21 Nov 2012

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%Constructs the parametric ROC curve based on parametric choices
%provided by the user. Estimation is done via maximum likelihood.
%The area under the curve (AUC) is also computed. If
%requested, a partial area under the curve can also be obtained.
%The empirical (non-parametric) ROC is also provided.
%Bootstrap based 95% intervals can be obtained for the
%corresponding AUC, the partial AUC, as well as the empirical based AUC.
%95% pointwise confidence intervals can also be obtained for the parametric
%ROC curve itself. An informative plot depending on the choices of the user
%is provided automatically.

%The following parametric models are supported: Normal, Gamma, Lognormal
%and Weibull with all their possible pairwise combinations.

Comments and Ratings (3)

MATLAB Release Compatibility
Created with R2010a
Compatible with any release
Platform Compatibility
Windows macOS Linux