| confint.glmmTMB {glmmTMB} | R Documentation |
Calculate confidence intervals
## S3 method for class 'glmmTMB'
confint(object, parm, level = 0.95, method = c("wald",
"profile"), component = c("all", "cond", "zi", "other"), estimate = TRUE,
...)
object |
|
parm |
Specification of a parameter subset after
|
level |
Confidence level. |
method |
Currently only option is 'wald'. |
component |
Which of the three components 'cond', 'zi' or 'other' to select. Default is to select 'all'. |
estimate |
Logical; Add a 3rd column with estimate ? |
... |
Not used |
Currently, all confidence intervals are calculated using the 'wald' method. These intervals are based on the standard errors calculated for parameters on the scale of their internal parameterization depending on the family. Derived quantities such as standard deviation parameters and dispersion parameters are backtransformed. It follows that confidence intervals for these derived quantities are asymmetric.
data(sleepstudy, package="lme4") model <- glmmTMB(Reaction ~ Days + (1|Subject), sleepstudy) confint(model)