RandomEffectResult

class superglm.RandomEffectResult(

name: str,

lambda_value: float,

phi: float,

tau_squared: float,

standard_deviation: float,

effective_df: float,

collapsed: bool,

at_lower_boundary: bool,

at_upper_boundary: bool,

table: DataFrame,

diagnostics: dict[str, Any],

)

Bases: object

Variance-component summary and one row per fitted factor level.

property variance_component: float

Alias for the random-effect variance phi / lambda.

property smoothing_lambda: float

Named alias for the fitted penalty multiplier.