R: Bayesian Clustering Using the Table Invitation Prior (TIP)

# Bayesian Clustering Using the Table Invitation Prior (TIP)

## Documentation for package ‘tip’ version 0.1.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package README

## Help Pages

bcm-class | Bayesian Clustering Model (bcm) S4 class.
get_cpt_neighbors | Estimate the number of similar subjects
ggnet2_network_plot | Visualize the posterior similarity matrix (i.e., posterior probability matrix)
ggplot_line_point | Plot connected points using ggplot2
ggplot_number_of_clusters_hist | Plot the posterior distribution of the number of clusters.
ggplot_number_of_clusters_trace | Plot the trace plot of the posterior number of clusters
partition_undirected_graph | Partition an undirected graph
plot | Generate plots from a Bayesian Clustering Model (bcm) object
plot-method | Generate plots from a Bayesian Clustering Model (bcm) object
tip | Bayesian Clustering with the Table Invitation Prior