formOmega

Code from Wand and Ormerod (2008)
Found here here: 10.1111/j.1467-842X.2008.00507.x

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

formOmega function

<dl><dt>a</dt>
<dd>lower boundary</dd>
<dt>b</dt>
<dd>upper boundary</dd>
<dt>intKnots</dt>
<dd>internal knots</dd></dl>

Arguments

Code from Wand and Ormerod (2008)
Found here here: 10.1111/j.1467-842X.2008.00507.x — formOmega

<dl>

<dt>a</dt>
<dd>lower boundary</dd>


<dt>b</dt>
<dd>upper boundary</dd>


<dt>intKnots</dt>
<dd>internal knots</dd>

</dl>

formOmega: Code from Wand and Ormerod (2008) Found here here: 10.1111/j.1467-842X.2008.00507.x

Description

Usage

Arguments