Merge-Split Samplers for Conjugate Bayesian Nonparametric Models

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Documentation for package ‘sams’ version 0.4.3

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asCanonical Coerce a Vector of Cluster Labels to Canonical Form
asClusterLabels Coerce a Set Partition in List Structure to Numeric Vectors of Cluster Label
asSetPartition Coerce a Set Partition as Numeric Vectors of Cluster Labels to a List Structure
clusterProportions Compute the Proportion of Items in Each Cluster for All Partitions
clusterTrace Plot Traces of Cluster Sizes
clusterWithItem Identify Which Cluster Contains a Given Item
createNewCluster Create a New Cluster with Given Item
dCRP Compute Probability Mass of a Partition Under the Two Parameter Chinese Restaurant Process (CRP)
getThetas Get theta Parameters from a Numeric Vector of Cluster Labels and Unique phi Values
isCanonical Check if a Vector of Cluster Labels is in Canonical Form
joinExistingCluster Join Item to an Existing Cluster
nClusters Count the Number of Clusters in a Set Partition
nealAlgorithm3 Conjugate Gibbs Sampler for a Partition
p18_bern Multivariate Independent Bernoulli Data (p = 18)
p18_bern_1 Multivariate Independent Bernoulli Data (p = 18)
p18_bern_2 Multivariate Independent Bernoulli Data (p = 18)
p18_bern_3 Multivariate Independent Bernoulli Data (p = 18)
p18_corr_mvn Correlated Multivariate Normal Data (p = 18)
p18_corr_mvn_1 Correlated Multivariate Normal Data (p = 18)
p18_corr_mvn_2 Correlated Multivariate Normal Data (p = 18)
p18_corr_mvn_3 Correlated Multivariate Normal Data (p = 18)
p18_mvn Independent Multivariate Normal Data (p = 18)
p18_mvn_1 Independent Multivariate Normal Data (p = 18)
p18_mvn_2 Independent Multivariate Normal Data (p = 18)
p18_mvn_3 Independent Multivariate Normal Data (p = 18)
p6_bern Multivariate Independent Bernoulli Data (p = 6)
p6_bern_1 Multivariate Independent Bernoulli Data (p = 6)
p6_bern_2 Multivariate Independent Bernoulli Data (p = 6)
p6_bern_3 Multivariate Independent Bernoulli Data (p = 6)
p6_big_bern Large Sample Multivariate Independent Bernoulli Data (p = 6)
p6_big_bern_1 Large Sample Multivariate Independent Bernoulli Data (p = 6)
p6_big_bern_2 Large Sample Multivariate Independent Bernoulli Data (p = 6)
p6_big_bern_3 Large Sample Multivariate Independent Bernoulli Data (p = 6)
p6_mvn Independent Multivariate Normal Data (p = 6)
p6_mvn_1 Independent Multivariate Normal Data (p = 6)
p6_mvn_2 Independent Multivariate Normal Data (p = 6)
p6_mvn_3 Independent Multivariate Normal Data (p = 6)
partitionEntropy Calculate the Entropy of a Set Partition
poch Compute the Pochhammer Symbol (Rising Factorials) With Increment
psm Compute the Posterior Pairwise Similarity for All Pairs of Items
psmMergeSplit Merge-Split Sampling for a Partition Based on Sequential Allocation Informed by Pairwise Similarities
psmMergeSplit_base Base Functionality for the psmMergeSplit Function
restrictedGibbsMergeSplit Merge-Split Sampling for a Partition Based on Restricted Gibbs Scans
seqAllocatedMergeSplit Merge-split Sampling for a Partition Based on Sequential Allocation of Items
seqAllocatedMergeSplit_base Base Functionality for the seqAllocatedMergeSplit Function
simpleMergeSplit Merge-Split Sampling for a Partition Using Uniformly Random Allocation
sizeOfLargestCluster Calculate the Number of Items in the Largest Cluster of a Set Partition
transformedWeights Enumerate Transformed Weights for Choosing i and j Non-Uniformly