print.SANmcmc

Print method for objects of class <code>SANmcmc</code>.

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.SANmcmc function

<dl><dt>x</dt>
<dd>object of class <code>SANmcmc</code> (the result of a call to <code>sample_fiSAN</code>,
<code>sample_fSAN</code>, or <code>sample_CAM</code>).</dd>
<dt>...</dt>
<dd>ignored.</dd></dl>

Arguments

Print MCMC output — print.SANmcmc

<dl>

<dt>x</dt>
<dd>object of class <code>SANmcmc</code> (the result of a call to <code>sample_fiSAN</code>,
<code>sample_fSAN</code>, or <code>sample_CAM</code>).</dd>


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

</dl>

print.SANmcmc: Print MCMC output

Description

Usage

Value

Arguments

See Also