parametric ROC curve
Updated 21 Nov 2012
%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 (2023). parametric ROC curve (https://www.mathworks.com/matlabcentral/fileexchange/39127-parametric-roc-curve), MATLAB Central File Exchange. Retrieved .
MATLAB Release Compatibility
Platform CompatibilityWindows macOS Linux
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!Start Hunting!
Discover Live Editor
Create scripts with code, output, and formatted text in a single executable document.