test_sampler_adapted

Test that the sampler has successfully adapted

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

test_sampler_adapted function

<dl><dt>pmwgs</dt>
<dd>The full pmwgs object with all samples</dd>
<dt>n_unique</dt>
<dd>The number of unique samples to look for in random effects
for each subject.</dd>
<dt>i</dt>
<dd>The number for the current iteration of the sampler</dd></dl>

Arguments

Test that the sampler has successfully adapted — test_sampler_adapted

<dl>

<dt>pmwgs</dt>
<dd>The full pmwgs object with all samples</dd>


<dt>n_unique</dt>
<dd>The number of unique samples to look for in random effects
for each subject.</dd>


<dt>i</dt>
<dd>The number for the current iteration of the sampler</dd>

</dl>

Test that the sampler has successfully adapted

test_sampler_adapted: Test that the sampler has successfully adapted

Description

Usage

Value

Arguments