fallback_interpret.gam0

A modified version of interpret.gam0 from mgcv. Used when mgcv's
 interpret.gam fails; usually when some environment object is passed to v_s.

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

fallback_interpret.gam0 function

<dl><dt>gf</dt>
<dd>A vglmer formula</dd>
<dt>textra</dt>
<dd>Unused internal argument</dd>
<dt>extra.special</dt>
<dd>Allow extra special terms to be passed</dd></dl>

Arguments

Interpret a vglmer formula for splines — fallback_interpret.gam0

<dl>

<dt>gf</dt>
<dd>A vglmer formula</dd>


<dt>textra</dt>
<dd>Unused internal argument</dd>


<dt>extra.special</dt>
<dd>Allow extra special terms to be passed</dd>

</dl>

fallback_interpret.gam0: Interpret a vglmer formula for splines

Description

Usage

Arguments