print.SANclusters

Print the cluster-specific sample means and variances of the estimated observational and distributional partition.

Estimate Bayesian nested mixture models via Markov Chain Monte Carlo methods. Specifically, the package implements the common atoms model (Denti et al., 2023), and hybrid finite-infinite models.
All models use Gaussian mixtures with a normal-inverse-gamma prior distribution on the parameters. Additional functions are provided to help analyzing the results of the fitting procedure.
References:
Denti, Camerlenghi, Guindani, Mira (2023) <doi:10.1080/01621459.2021.1933499>,
D’Angelo, Denti (2024) <doi:10.1214/24-BA1458>.

Francesco Denti

SANple

Fitting Shared Atoms Nested Models via Markov Chains Monte Carlo

Laura D'Angelo

print.SANclusters function

<dl><dt>x</dt>
<dd>object of class <code>SANclusters</code> (the result of a call to <code>estimate_clusters</code>)</dd>
<dt>...</dt>
<dd>ignored.</dd></dl>

Arguments

Print cluster summary — print.SANclusters

<dl>

<dt>x</dt>
<dd>object of class <code>SANclusters</code> (the result of a call to <code>estimate_clusters</code>)</dd>


<dt>...</dt>
<dd>ignored.</dd>

</dl>

print.SANclusters: Print cluster summary

Description

Usage

Value

Arguments