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salso (version 0.1.3)

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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Install

install.packages('salso')

Monthly Downloads

6,375

Version

0.1.3

License

MIT + file LICENSE | Apache License 2.0

Maintainer

David B Dahl

Last Published

September 27th, 2019

Functions in salso (0.1.3)

psm

Compute the Pairwise Similarity Matrix
enumerate.partitions

Enumerate Partitions of a Set
dlso

Draws-Based Latent Structure Optimization
bell

Compute the Bell Number
plot.salso.confidence

Confidence and Exemplar Plotting
iris.clusterings

Clusterings of the Iris Data
confidence

Compute Clustering Confidence
binder

Compute a Partition Loss Function
salso

Sequentially-Allocated Latent Structure Optimization