glmmTMB (version 1.1.13)

estfun.glmmTMB: Extract Empirical Estimating Functions

Description

This method for estfun extracts the clusterwise score vectors (empirical estimating functions) from a fitted glmmTMB model.

Usage

# S3 method for glmmTMB
estfun(x, full = FALSE, cluster = getGroups(x), rawnames = FALSE, ...)

Value

A matrix where each row corresponds to a cluster and each column corresponds to a parameter in the model. The values are the empirical estimating functions (score vectors) for each parameter in each cluster.

Arguments

x

a glmmTMB object fitted with ML (REML is not supported).

full

logical; if TRUE, return the full score vectors including random effects, otherwise only the fixed effects part.

cluster

a factor indicating the cluster structure of the data.

rawnames

logical; if TRUE, return the raw names of the parameters as in the TMB object. By default, FALSE such that the names are sanitized to user friendly names.

...

additional arguments (ignored).

Examples

m <- glmmTMB(count ~ mined + (1 | spp), data = Salamanders, family = nbinom1)
estfun(m)
estfun(m, full = TRUE)