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shallot (version 0.4.9)

Random Partition Distribution Indexed by Pairwise Information

Description

Implementations are provided for the models described in the paper D. B. Dahl, R. Day, J. Tsai (2017) . The Ewens, Ewens-Pitman, Ewens attraction, Ewens-Pitman attraction, and ddCRP distributions are available for prior and posterior simulation. Posterior simulation is based on a user-supplied likelihood. Supporting functions for partition estimation and plotting are also provided.

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Install

install.packages('shallot')

Monthly Downloads

115

Version

0.4.9

License

Apache License 2.0 | file LICENSE

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Maintainer

David B Dahl

Last Published

April 4th, 2020

Functions in shallot (0.4.9)

default.mass

Default Mass Selection
mass

Mass, Discount, and Temperature Parameters
decay.reciprocal

Decay Functions
association.matrix

Association Matrix
partition.confidence

Partition Confidence
mass.algorithm

Mass Selection Algorithm
nsubsets.random

Number of Subsets
attraction

Attraction
ewens

Partition Distributions
partition.pmf

Obtain the Probability Mass Function of a Partition Distribution
permutation

Permutation
shallot-package

Random Partition Distribution Indexed by Pairwise Information
sample.partitions

Sample Partitions from Partition Distributions
variance.ratio

Variance Ratio
process.samples

Process Sampled Partitions