random_effects

SuperGLM.random_effects(

name: Hashable,

*,

exposure: NDArray | None = None,

X: FrameLike | None = None,

y: NDArray | None = None,

sample_weight: NDArray | None = None,

offset: NDArray | None = None,

) → RandomEffectResult

Return variance-component and per-level credibility diagnostics.