This class contains results of a run to search for all possible rules.
Percentage of patients taking viral load test.
A vector of true disease status (Failure Status coded as Z=1).
A vector of risk Score.
A matrix of all possible tripartite rules (two cutoffs) derived from the training data set.
A boolean indicating if nonparametric approach should be used in calculating the misclassfication rates. If FALSE, semiparametric approach would be used.
A matrix with two columns of misclassification rates, FNR and FPR.
If res is the result of rankclust(), each slot of results can be reached by res[k]@slotname, where k is the number of clusters and slotname is the name of the slot we want to reach (see Output-class). For the slots ll, bic, icl, res["slotname"] returns a vector of size K containing the values of the slot for each number of clusters.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.