Fitted values from a fitted gllvmTMB model — fitted.gllvmTMB

A thin wrapper over predict.gllvmTMB_multi() at the training rows (newdata = NULL). Returns the same long data frame predict() returns – one row per training observation, carrying its unit/species/trait identifiers alongside the fitted value – rather than a bare vector, so row identity against the original data is preserved. ... is forwarded to predict() unchanged, so its other arguments (se.fit, re_form) work here too.

Usage

# S3 method for class 'gllvmTMB_multi'
fitted(object, type = c("response", "link"), ...)

Arguments

object: A fit returned by gllvmTMB().
type: One of "response" (default, the fitted() convention) or "link".
...: Forwarded to predict.gllvmTMB_multi() (e.g. se.fit, re_form); see its documentation for what each accepts.

Value

A data frame with the original row identifiers (unit, species, trait columns) plus an est column on the requested scale – identical in shape to predict(object, newdata = NULL, type = type, ...). For a multinomial() fit this is .predict_multinomial()'s output: K rows per observation (one per category, including the baseline), not one.