summary.multNRMI: S3 method for class 'multNRMI'

In konkam/BNPdensity: Ferguson-Klass Type Algorithm for Posterior Normalized Random Measures

S3 method for class 'multNRMI'

Description

S3 method for class 'multNRMI'

Usage

## S3 method for class 'multNRMI'
summary(object, number_of_clusters = FALSE, ...)

Arguments

object	A fitted object of class NRMI1cens
number_of_clusters	Whether to compute the optimal number of clusters, which can be a time-consuming operation (see compute_optimal_clustering)
...	Further arguments to be passed to generic function, ignored at the moment

Value

Prints out the text for the summary S3 methods

Examples

data(salinity)
out <- multMixNRMI2cens(salinity$left, salinity$right, parallel = TRUE, Nit = 10, ncores = 2)
summary(out)

konkam/BNPdensity documentation built on March 14, 2024, 7:15 a.m.