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Returns the per-group random-effect posterior summaries. Under NUTS the non-centred draws are reconstructed to the natural BLUP scale (b_{g,c} = sigma_c * (L z_g)_c) and summarised; the deterministic Laplace path returns the variance-component EM modes and their Schur-complement standard errors. When the fit carries no formula random effects this falls back to the generic flat random-effect table.

Usage

# S3 method for class 'tobs_fit'
ranef(object, ...)

Arguments

object

A tobs_fit object.

...

Ignored.

Value

A data frame with one row per group level and coefficient (group, level, term, estimate, std.error), or the generic ranef table when no re_effects are present.