convert_to_mcmc

Convert the output of multMixNRMI into a coda mcmc object

Bayesian nonparametric density estimation modeling mixtures by a Ferguson-Klass type algorithm for posterior normalized random measures.

Guillaume Kon Kam King

BNPdensity

Ferguson-Klass Type Algorithm for Posterior Normalized Random
Measures

Julyan Arbel

Ernesto Barrios

Antonio Lijoi

Luis E. Nieto-Barajas

Igor Prünster

convert_to_mcmc function

<dl><dt>fitlist</dt>
<dd>Output of multMixNRMI.</dd>
<dt>thinning_to</dt>
<dd>Final length of the chain after thinning.</dd>
<dt>ncores</dt>
<dd>Specify the number of cores to use in the conversion</dd></dl>

Arguments

Convert the output of multMixNRMI into a coda mcmc object — convert_to_mcmc

<dl>

<dt>fitlist</dt>
<dd>Output of multMixNRMI.</dd>


<dt>thinning_to</dt>
<dd>Final length of the chain after thinning.</dd>


<dt>ncores</dt>
<dd>Specify the number of cores to use in the conversion</dd>

</dl>

convert_to_mcmc: Convert the output of multMixNRMI into a coda mcmc object

Description

Usage

Value

Arguments