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RowExpectedJets

gam_inference::lawley

Struct RowExpectedJets 

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pub struct RowExpectedJets {
    pub mu1: f64,
    pub mu2: f64,
    pub mu3: f64,
    pub var: f64,
    pub dvar_dmu: f64,
    pub d2var_dmu2: f64,
    pub dispersion: f64,
}
Expand description

Per-row expected jets of a GLM family/link pair at a linear predictor value: the η-derivatives of the inverse link and the μ-derivatives of the variance function. Everything Lawley needs is assembled from these by exact jet composition — no finite differences anywhere.

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§mu1: f64

dμ/dη.

§mu2: f64

d²μ/dη².

§mu3: f64

d³μ/dη³.

§var: f64

V(μ).

§dvar_dmu: f64

dV/dμ.

§d2var_dmu2: f64

d²V/dμ².

§dispersion: f64

Dispersion φ (log-likelihood is [yθ − b(θ)]/φ): scales every cumulant by 1/φ.

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impl RowExpectedJets

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pub fn kappas(&self) -> Result<RowKappas, String>

Assemble the per-row cumulant scalars by jet composition of c = μ′/V(μ) and u₀ = μ′·c.

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pub fn gaussian_identity(dispersion: f64) -> RowExpectedJets

Gaussian family, identity link, variance φ = σ².

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pub fn poisson_log(eta: f64) -> RowExpectedJets

Poisson family, log link (canonical), at linear predictor eta.

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pub fn binomial_logit(eta: f64) -> RowExpectedJets

Bernoulli family, logit link (canonical), at linear predictor eta.

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pub fn gamma_log(eta: f64, dispersion: f64) -> RowExpectedJets

Gamma family, log link (non-canonical), at linear predictor eta with dispersion φ (shape 1/φ; φ = 1 is the exponential distribution).

Trait Implementations§

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impl Clone for RowExpectedJets

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fn clone(&self) -> RowExpectedJets

Returns a duplicate of the value. Read more
1.0.0 (const: unstable) · Source§

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

Performs copy-assignment from source. Read more
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impl Copy for RowExpectedJets

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impl Debug for RowExpectedJets

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

Formats the value using the given formatter. Read more

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fn vzip(self) -> V