posterior_samples.vglmer

This function draws samples from the estimated variational
 distributions. If using <code>MAVB</code> to improve the quality of the
 approximating distribution, please use MAVB or predict_MAVB.

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

posterior_samples.vglmer function

<dl><dt>object</dt>
<dd>Model fit using <code>vglmer</code>.</dd>
<dt>samples</dt>
<dd>Number of samples to draw.</dd>
<dt>verbose</dt>
<dd>Show progress in drawing samples.</dd></dl>

Arguments

Draw samples from the variational distribution — posterior_samples.vglmer

<dl>

<dt>object</dt>
<dd>Model fit using <code>vglmer</code>.</dd>


<dt>samples</dt>
<dd>Number of samples to draw.</dd>


<dt>verbose</dt>
<dd>Show progress in drawing samples.</dd>

</dl>

posterior_samples.vglmer: Draw samples from the variational distribution

Description

Usage

Value

Arguments