summary.sfclust: Summary method for sfclust objects

In sfclust: Bayesian Spatial Functional Clustering

Summary method for sfclust objects

Description

This function summarizes the cluster assignments from the desired clustering sample.

Usage

## S3 method for class 'sfclust'
summary(object, sample = object$clust$id, sort = FALSE, ...)

Arguments

object	An object of class 'sfclust'.
sample	An integer specifying the clustering sample number to be summarized (default is the last sample).
sort	Logical value indicating if clusters should be relabel based on number of elements.
...	Additional arguments passed to print.default.

Value

Invisibly returns a table with the number of regions in each cluster for the selected sample. The function also prints a summary that includes:

• the within-cluster model formula,

• the total number of MCMC clustering samples,

• the cluster membership counts for the specified sample (optionally sorted),

• and the log marginal likelihood of the selected clustering sample.

sfclust documentation built on June 8, 2025, 10:11 a.m.