Usage
# S3 method for glmmTMB
predict(object, newdata = NULL, se.fit = FALSE, re.form,
allow.new.levels = FALSE, zitype = c("response", "conditional", "zprob"),
debug = FALSE, ...)
Arguments
newdata
new data for prediction
se.fit
return the standard errors of the predicted values?
re.form
(not yet implemented) specify which random effects to condition on when predicting
allow.new.levels
(not yet implemented) allow previously unobserved levels in random-effects grouping variables?
zitype
for zero-inflated models,
return expected value ("response": (mu*(1-p))),
the mean of the conditional distribution ("conditional": mu),
or the probability of a structural zero ("zprob")?
debug
(logical) return the TMBStruc
object that will be
used internally for debuggin?
…
unused - for method compatibility