vcov.glmmTMB | R Documentation |
Calculate Variance-Covariance Matrix for a Fitted glmmTMB model
## S3 method for class 'glmmTMB'
vcov(object, full = FALSE, include_nonest = TRUE, ...)
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) |
... |
ignored, for method compatibility |
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)
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