sandwich

sandwich.default

sandwich.glmmTMB

This (simplified) method for a new S3 generic based on <code>sandwich</code> 
computes the sandwich estimator for a fitted <code>glmmTMB</code> 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

Hatice Tül Kübra Akdur

Daniel Sabanés Bové

Nikolas Krieger

sandwich function

<dl><dt>x</dt>
<dd>a <code>glmmTMB</code> object fitted with ML (REML is not supported).</dd>
<dt>...</dt>
<dd>ignored by the <code>glmmTMB</code> method.</dd>
<dt>full</dt>
<dd>logical; if <code>TRUE</code>, return the full sandwich matrix including variance components,
otherwise only the fixed effects part (if the model was fit with ML).</dd>
<dt>cluster</dt>
<dd>a factor indicating the cluster structure of the data.</dd>
<dt>rawnames</dt>
<dd>logical; if <code>TRUE</code>, keep the original names of the parameters as in the 
<code>TMB</code> object. By default, <code>FALSE</code> such that the names are sanitized to user friendly names.</dd></dl>

Arguments

Sandwich Estimator based on Bread and Meat Matrices — sandwich

<dl>

<dt>x</dt>
<dd>a <code>glmmTMB</code> object fitted with ML (REML is not supported).</dd>


<dt>...</dt>
<dd>ignored by the <code>glmmTMB</code> method.</dd>


<dt>full</dt>
<dd>logical; if <code>TRUE</code>, return the full sandwich matrix including variance components,
otherwise only the fixed effects part (if the model was fit with ML).</dd>


<dt>cluster</dt>
<dd>a factor indicating the cluster structure of the data.</dd>


<dt>rawnames</dt>
<dd>logical; if <code>TRUE</code>, keep the original names of the parameters as in the 
<code>TMB</code> object. By default, <code>FALSE</code> such that the names are sanitized to user friendly names.</dd>

</dl>

Sandwich Estimator based on Bread and Meat Matrices

sandwich: Sandwich Estimator based on Bread and Meat Matrices

Description

Usage

Value

Arguments

Examples