Struct FitArtifacts 

pub struct FitArtifacts {
    pub pirls: Option<PirlsResult>,
    pub null_space_logdet: Option<f64>,
    pub null_space_dim: Option<usize>,
    pub survival_link_wiggle_knots: Option<Array1<f64>>,
    pub survival_link_wiggle_degree: Option<usize>,
    pub criterion_certificate: Option<CriterionCertificate>,
    pub rho_posterior_certificate: Option<RhoPosteriorCertificate>,
    pub rho_posterior_escalation: Option<RhoPosteriorEscalation>,
    pub rho_covariance: Option<Array2<f64>>,
}

Post-fit artifacts needed by downstream diagnostics/inference without re-running PIRLS.

Fields

pirls: Option<PirlsResult>

null_space_logdet: Option<f64>

null_space_dim: Option<usize>

survival_link_wiggle_knots: Option<Array1<f64>>

survival_link_wiggle_degree: Option<usize>

criterion_certificate: Option<CriterionCertificate>

First-order optimality certificate from the outer smoothing-parameter optimization (#934): gradient-vs-objective FD audit at the returned optimum, Hessian-PD probe, λ-rail flags. None when the outer ran gradient-free or an audit probe could not evaluate.

rho_posterior_certificate: Option<RhoPosteriorCertificate>

Tier-0 marginal-smoothing (ρ-uncertainty) PSIS certificate (#938): the Pareto-k̂ diagnostic that says whether the plug-in + first-order V_ρ correction is adequate or ρ-uncertainty needs a heavier quadrature/NUTS treatment. Computed against the live REML objective at the converged ρ̂ (see RemlState::rho_posterior_inference). None when there are no smoothing parameters or the outer Hessian was unavailable. Re-derivable from the fit, so it is not serialized.

rho_posterior_escalation: Option<RhoPosteriorEscalation>

Escalation outcome (#938) when the Tier-0 certificate read Escalate: the Tier-1 quadrature mixture (K ≤ 4), the Tier-2 NUTS draws (K ≤ 16), or an honest Unavailable report. None whenever the certificate did not escalate (or is itself absent). Computed at the same live-objective seam as the certificate; re-derivable, not serialized.

rho_covariance: Option<Array2<f64>>

Regularized inverse REML/LAML outer Hessian over rho = log(lambda), aligned with UnifiedFitResult::lambdas. This is the narrow #740 handoff consumed by estimated-lambda Lawley LR corrections; it is computed from the same path as smoothing-parameter uncertainty and is re-derivable, so it is not serialized.

Trait Implementations

impl Clone for FitArtifacts

fn clone(&self) -> FitArtifacts

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for FitArtifacts

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Default for FitArtifacts

fn default() -> FitArtifacts

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for FitArtifacts

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for FitArtifacts

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.