family_params

Most conditional distributions have only parameters governing their location
(retrieved via <code>predict</code>) and scale (<code>sigma</code>). A few (e.g. Tweedie, Student t, ordered beta)
are characterized by one or more additional parameters.

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

family_params function

<dl><dt>object</dt>
<dd>glmmTMB object</dd></dl>

Arguments

Retrieve family-specific parameters — family_params

<dl>

<dt>object</dt>
<dd>glmmTMB object</dd>

</dl>

Retrieve family-specific parameters

family_params: Retrieve family-specific parameters

Description

Usage

Value

Arguments