Summarise a legacy Julia-bridge drmTMB fit

The Julia bridge is halted/deferred future work. This compatibility method inspects an existing drmTMB_julia object; it does not make Julia a current fitting or inference option. For new analyses, use native TMB fits.

Usage

# S3 method for class 'drmTMB_julia'
summary(
  object,
  conf.int = FALSE,
  level = 0.95,
  method = c("wald", "profile"),
  ...
)

Arguments

object

A drmTMB_julia fit.

conf.int

Logical; append confidence-interval columns.

level

Confidence level for the interval columns.

method

"wald" (default) or "profile"; only used when conf.int = TRUE.

...

Unused.

Value

An object of class summary.drmTMB_julia with coefficients, random (random-effect SDs), and fit-summary scalars.

Details

Builds a fixed-effect coefficient table (estimate, standard error, z value, and two-sided p value, all on the linear-predictor / link scale) from the coefficients and fixed-effect covariance DRM.jl marshals back through the bridge. Standard errors are the square roots of the diagonal of vcov(object); when DRM.jl did not return a finite covariance for a route the SE / z / p columns are NA and uncertainty$status records why. The random-effect SD block (e.g. a phylogenetic SD) is reported on its positive response scale.

Set conf.int = TRUE to append Wald (default) or profile confidence-interval columns. Profile / bootstrap intervals are available only for the Gaussian phylogenetic SD target; see confint.drmTMB_julia().