summary.glmmTMB: summary for glmmTMB fits

In glmmTMB: Generalized Linear Mixed Models using Template Model Builder

summary for glmmTMB fits

Description

summary for glmmTMB fits

Usage

## 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

glmmTMB documentation built on Jan. 15, 2026, 9:07 a.m.