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salso (version 0.1.16)

Sequentially-Allocated Latent Structure Optimization

Description

Point estimation for partition distributions using the sequentially-allocated latent structure optimization (SALSO) method to minimize the expectation of the Binder loss or the lower bound of the expectation of the variation of information loss. The SALSO method was presented at the workshop "Bayesian Nonparametric Inference: Dependence Structures and their Applications" in Oaxaca, Mexico on December 6, 2017. See .

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Version

Install

install.packages('salso')

Monthly Downloads

848

Version

0.1.16

License

MIT + file LICENSE | Apache License 2.0

Maintainer

David B Dahl

Last Published

February 7th, 2020

Functions in salso (0.1.16)

iris.clusterings

Clusterings of the Iris Data
dlso

Draws-Based Latent Structure Optimization
confidence

Compute Clustering Confidence
psm

Compute the Pairwise Similarity Matrix
salso

Sequentially-Allocated Latent Structure Optimization
binder

Compute a Partition Loss Function
bell

Compute the Bell Number
enumerate.partitions

Enumerate Partitions of a Set
enumerate.permutations

Enumerate Permutations of Items
plot.salso.confidence

Confidence and Exemplar Plotting