extract_samples

From the sampler, extract relevant samples for the creation of
the proposal distribution.

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

extract_samples function

<dl><dt>sampler</dt>
<dd>The pmwgs object containing the samples</dd>
<dt>stage</dt>
<dd>The stage, or list of stages from which you want the samples</dd></dl>

Arguments

Extract relevant samples from the list for conditional dist calc — extract_samples

<dl>

<dt>sampler</dt>
<dd>The pmwgs object containing the samples</dd>


<dt>stage</dt>
<dd>The stage, or list of stages from which you want the samples</dd>

</dl>

Extract relevant samples from the list for conditional dist calc

extract_samples: Extract relevant samples from the list for conditional dist calc

Description

Usage

Value

Arguments