Search Algorithms and Loss Functions for Bayesian Clustering

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Documentation for package ‘salso’ version 0.3.0

Help Pages

ARI Compute Partition Loss or the Expectation of Partition Loss
bell Compute the Bell Number
binder Compute Partition Loss or the Expectation of Partition Loss
dlso Latent Structure Optimization Based on Draws
enumerate.partitions Enumerate Partitions of a Set
enumerate.permutations Enumerate Permutations of Items
ID Compute Partition Loss or the Expectation of Partition Loss
iris.clusterings Clusterings of the Iris Data
lbell Compute the Bell Number
NID Compute Partition Loss or the Expectation of Partition Loss
NVI Compute Partition Loss or the Expectation of Partition Loss
omARI Compute Partition Loss or the Expectation of Partition Loss
omARI.approx Compute Partition Loss or the Expectation of Partition Loss
partition.loss Compute Partition Loss or the Expectation of Partition Loss
plot.salso.summary Heatmap, Multidimensional Scaling, Pairs, and Dendrogram Plotting for Partition Estimation
psm Compute an Adjacency or Pairwise Similarity Matrix
RI Compute Partition Loss or the Expectation of Partition Loss
salso SALSO Greedy Search
summary.salso.estimate Summary of Partitions Estimated Using Posterior Expected Loss
VI Compute Partition Loss or the Expectation of Partition Loss
VI.lb Compute Partition Loss or the Expectation of Partition Loss