custom_glmer_samples

Order samples from glmer to match names from vglmer.

internal

Estimates hierarchical models using mean-field variational Bayes.
At present, it can estimate logistic, linear, and negative binomial models.
It can accommodate models with an arbitrary number of random effects and
requires no integration to estimate. It also provides the ability to improve
the quality of the approximation using marginal augmentation.
Goplerud (2022) <doi:10.1214/21-BA1266> and Goplerud (2024) <doi:10.1017/S0003055423000035>
provide details on the variational algorithms.

Max Goplerud

vglmer

Variational Inference for Hierarchical Generalized Linear Models

custom_glmer_samples function

<dl><dt>glmer</dt>
<dd>object fitted using glmer</dd>
<dt>samples</dt>
<dd>number of samples to draw</dd>
<dt>ordering</dt>
<dd>order of output</dd></dl>

Arguments

Get samples from GLMER — custom_glmer_samples

<dl>

<dt>glmer</dt>
<dd>object fitted using glmer</dd>


<dt>samples</dt>
<dd>number of samples to draw</dd>


<dt>ordering</dt>
<dd>order of output</dd>

</dl>

custom_glmer_samples: Get samples from GLMER

Description

Usage

Arguments