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Calculate Variance-Covariance Matrix for a Fitted glmmTMB model

Source: R/methods.R
vcov.glmmTMB.Rd

Calculate Variance-Covariance Matrix for a Fitted glmmTMB model

Usage

# S3 method for class 'glmmTMB'
vcov(
  object,
  full = FALSE,
  include_nonest = TRUE,
  sandwich = FALSE,
  cluster = getGroups(object),
  ...
)

Arguments

object

a “glmmTMB” fit

full

return a full variance-covariance matrix?

include_nonest

include variables that are mapped or dropped due to rank-deficiency? (these will be given variances and covariances of NA)

sandwich

use the sandwich estimator for the variance-covariance matrix? (this only works for ML fits, but not for REML fits)

cluster

grouping factor for the sandwich estimator, only used if sandwich==TRUE.

...

ignored, for method compatibility

Value

By default (full==FALSE), a list of separate variance-covariance matrices for each model component (conditional, zero-inflation, dispersion). If full==TRUE, a single square variance-covariance matrix for all top-level model parameters (conditional, dispersion, and variance-covariance parameters)