ConcurvityResult

Concurvity diagnostics for smooth terms.

Usage

Source

ConcurvityResult(
    worst,
    observed,
    estimate,
    labels=list(),
    full=True,
)

Values range from 0 (no concurvity) to 1 (complete confounding). When full=True, each array has shape (n_smooths,) measuring each smooth against all other model terms combined. When full=False, each array has shape (n_smooths, n_smooths) with pairwise measures.

Attributes

worst: NDArray

Upper-bound concurvity: the maximum proportion of each smooth’s basis space that lies in the space of the comparator.

observed: NDArray

Concurvity of the actual fitted smooth function.

estimate: NDArray

Concurvity based on the estimated smooth’s squared norm relative to the null model.

labels: list[str]

Smooth term labels in the same order as the array axes.

full: bool

Whether this is a full (overall) or pairwise result.