summary for glmmTMB fits

Source: R/glmmTMB.R

summary for glmmTMB fits

# S3 method for class 'glmmTMB'
summary(
  object,
  sandwich = FALSE,
  ddf = c("asymptotic", "kenward-roger", "satterthwaite"),
  cluster = getGroups(object),
  ...
)

Arguments

object

a fitted glmmTMB object

sandwich

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

ddf

denominator degrees-of-freedom calculation. Default "asymptotic" gives standard Z-statistics (i.e., 'infinite' denominator df); "kenward-roger" uses the Kenward-Roger approximation, which will be ignored for non-REML fits and is entirely untested for GLMMs (see dof_KR); "satterthwaite" uses a Satterthwaite approximation

cluster

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

...

unused, for method compatibility