%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.
Leonidas Bantis (2020). parametric ROC curve (https://www.mathworks.com/matlabcentral/fileexchange/39127-parametric-roc-curve), MATLAB Central File Exchange. Retrieved .