Estimation of the cutpoint defined by the Generalized Symmetry point in a binary classification setting based on a continuous diagnostic test or marker. Two methods have been implemented to construct confidence intervals for this optimal cutpoint, one based on the Generalized Pivotal Quantity and the other based on Empirical Likelihood. Numerical and graphical outputs for these two methods are easily obtained.
|Author||Mnica Lpez-Ratn [aut, cre], Carmen Cadarso-Surez [aut], Elisa M. Molanes-Lpez [aut], Emilio Letn [aut]|
|Date of publication||2017-02-23 17:30:53|
|Maintainer||Mnica Lpez-Ratn <firstname.lastname@example.org>|
control.gsym.point: Control of the Generalized Symmetry point computing process
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gsym.point: Construction of confidence intervals for the Generalized...
GsymPoint-package: Estimation of the Generalized Symmetry Point, an Optimal...
melanoma: Melanoma dataset
plot.gsym.point: Default plotting of a gsym.point object
print.gsym.point: Print method for gsym.point objects
prostate: Prostate cancer dataset
summary.gsym.point: Summary method for gsym.point objects