Rankclust-class: Constructor of Rankclust class
In Rankcluster: Model-Based Clustering for Multivariate Partial Ranking Data

This class contains results of rankclust function.

K: a vector of the number of clusters.
data: the data used for clustering.
criterion: the model selection criterion used.
convergence: a boolean indicating if none problem of empty class has been encountered (for any number of clusters).
results: a list of Output-class, containing the results for each number of clusters (one element of the list is associated to one number of clusters).

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.

Rankcluster documentation built on Aug. 26, 2019, 3 p.m.