Calculate Variance-Covariance Matrix for a Fitted glmmTMB model
# S3 method for glmmTMB
vcov(object, full = FALSE, include_nonest = TRUE, ...)
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)
a “glmmTMB” fit
return a full variance-covariance matrix?
include variables that are mapped or dropped due to rank-deficiency? (these will be given variances and covariances of NA)
ignored, for method compatibility