set_proposal

Takes the current stage and the mix arg value and sets a default if
necessary.

internal

Provides an R implementation of the Particle Metropolis within
Gibbs sampler for model parameter, covariance matrix and random effect
estimation. A more general implementation of the sampler based on the paper
by Gunawan, D., Hawkins, G. E., Tran, M. N., Kohn, R., & Brown, S. D.
(2020) <doi:10.1016/j.jmp.2020.102368>. An HTML tutorial document describing
the package is available at
<https://university-of-newcastle-research.github.io/samplerDoc/> and
includes several detailed examples, some background and troubleshooting
steps.

Gavin Cooper

pmwg

Particle Metropolis Within Gibbs

Reilly Innes

Caroline Kuhne

Jon-Paul Cavallaro

David Gunawan

Guy Hawkins

Scott Brown

Niek Stevenson

set_proposal function

<dl><dt>i</dt>
<dd>The current iteration of the stage being run.</dd>
<dt>stage</dt>
<dd>The stage being run by the sampler.</dd>
<dt>pmwgs</dt>
<dd>The pmwgs object from which to attempt to create the proposal
distribution</dd>
<dt>pdist_update_n</dt>
<dd>The number of iterations to run before recomputing the
proposal distribution (NA to never update or for burnin/adaptation stages)</dd></dl>

Arguments

Setup the proposal distribution arguments (if in sample stage) — set_proposal

<dl>

<dt>i</dt>
<dd>The current iteration of the stage being run.</dd>


<dt>stage</dt>
<dd>The stage being run by the sampler.</dd>


<dt>pmwgs</dt>
<dd>The pmwgs object from which to attempt to create the proposal
distribution</dd>


<dt>pdist_update_n</dt>
<dd>The number of iterations to run before recomputing the
proposal distribution (NA to never update or for burnin/adaptation stages)</dd>

</dl>

Setup the proposal distribution arguments (if in sample stage)

set_proposal: Setup the proposal distribution arguments (if in sample stage)

Description

Usage

Arguments