nnpiv.diagnostics.relative_wellposedness_effective_sieve_diagnostic

nnpiv.diagnostics.relative_wellposedness_effective_sieve_diagnostic(A, C, C_prime, e_g, *, sieve_grid=None, eta_grid=None, enforce_nested_rff=True, **kwargs)

Run kappa_eff over a sieve and eta path.

Parameters: A, C, C_prime : array-like

Inputs passed to relative_wellposedness_effective_diagnostic(). Arrays must share the same number of rows.

e_garray-like of shape (n,) or (n, 1)

Estimated first-stage error direction.

sieve_griditerable, optional

Sieve values interpreted as in relative_wellposedness_sieve_diagnostic().

eta_gridfloat or iterable of float, optional

Stabilization values for path evaluation.

enforce_nested_rffbool, default=True

Reuse nested RFF prefixes when possible.

**kwargs

Additional keyword arguments forwarded to relative_wellposedness_effective_diagnostic().

Returns

Dictionary with rows (path-level outputs) and summary (aggregated metadata and maxima).

Return type

dict

Notes

This is the post-estimation analogue of relative_wellposedness_sieve_diagnostic().