parUpdate

Update the Markov chain associated with the model on parallel workers.
 (This represents the 'burn-in' phase when nodes are not monitored.)

models

Low level functions for implementing
maximum likelihood estimating procedures for
complex models using data cloning and Bayesian
Markov chain Monte Carlo methods
as described in Solymos 2010 <doi:10.32614/RJ-2010-011>.
Sequential and parallel MCMC support
for 'JAGS', 'WinBUGS', 'OpenBUGS', and 'Stan'.

Peter Solymos

dclone

Data Cloning and MCMC Tools for Maximum Likelihood Methods

parUpdate function

<dl> <dt>cl</dt>
<dd>A cluster object created by <code><a href="/link/makeCluster?package=dclone&version=2.3-2" data-mini-rdoc="dclone::makeCluster">makeCluster</a></code>, or
 an integer. It can also be <code>NULL</code>,
 see <code>parDosa</code>.</dd> <dt>object</dt>
<dd>character, name of a jags model object</dd> <dt>n.iter</dt>
<dd>number of iterations of the Markov chain to run</dd> <dt>...</dt>
<dd>additional arguments to the update method, see
 <code>update.jags</code></dd></dl>

Arguments

Peter Solymos, <a href="/link/solymos%40ualberta.ca?package=dclone&version=2.3-2" data-mini-rdoc="dclone::solymos@ualberta.ca">solymos@ualberta.ca</a>

Author

Update jags models on parallel workers — parUpdate

<dl>

 <dt>cl</dt>
<dd>A cluster object created by <code><a href='https://rdrr.io/r/parallel/makeCluster.html'>makeCluster</a></code>, or
 an integer. It can also be <code>NULL</code>,
 see <code>parDosa</code>.</dd>

 <dt>object</dt>
<dd>character, name of a jags model object</dd>

 <dt>n.iter</dt>
<dd>number of iterations of the Markov chain to run</dd>

 <dt>...</dt>
<dd>additional arguments to the update method, see
 <code>update.jags</code></dd>

</dl>

Peter Solymos, <a href='mailto:solymos@ualberta.ca'>solymos@ualberta.ca</a>

parUpdate: Update jags models on parallel workers

Description

Usage

Value

Arguments

Author

See Also