.relabell

internal

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

.relabell function

<dl><dt>ix</dt>
<dd>vector of cluster labels</dd></dl>

Arguments

Relabel clusters — .relabell

<dl>

<dt>ix</dt>
<dd>vector of cluster labels</dd>

</dl>

.relabell: Relabel clusters

Description

Usage

Arguments