getME.glmmTMB

getME

Extract or Get Generalize Components from a Fitted Mixed Effects Model

Fit linear and generalized linear mixed models with various
extensions, including zero-inflation. The models are fitted using maximum
likelihood estimation via 'TMB' (Template Model Builder). Random effects are
assumed to be Gaussian on the scale of the linear predictor and are integrated
out using the Laplace approximation. Gradients are calculated using automatic
differentiation.

Mollie Brooks

glmmTMB

Generalized Linear Mixed Models using Template Model Builder

Ben Bolker

Kasper Kristensen

Martin Maechler

Arni Magnusson

Maeve McGillycuddy

Hans Skaug

Anders Nielsen

Casper Berg

Koen van Bentham

Nafis Sadat

Daniel Lüdecke

Russ Lenth

Joseph O'Brien

Charles J. Geyer

Mikael Jagan

Brenton Wiernik

Daniel B. Stouffer

Michael Agronah

getME.glmmTMB function

<dl><dt>object</dt>
<dd>a fitted <code>glmmTMB</code> object</dd>
<dt>name</dt>
<dd>of the component to be retrieved</dd>
<dt>...</dt>
<dd>ignored, for method compatibility</dd></dl>

Arguments

Extract or Get Generalize Components from a Fitted Mixed Effects Model — getME.glmmTMB

<dl>

<dt>object</dt>
<dd>a fitted <code>glmmTMB</code> object</dd>


<dt>name</dt>
<dd>of the component to be retrieved</dd>


<dt>...</dt>
<dd>ignored, for method compatibility</dd>

</dl>

Extract or Get Generalize Components from a Fitted Mixed Effects Model

getME.glmmTMB: Extract or Get Generalize Components from a Fitted Mixed Effects Model

Description

Usage

Arguments

See Also