Struct VarianceJet

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pub struct VarianceJet {
    pub v: f64,
    pub v1: f64,
    pub v2: f64,
    pub v3: f64,
    pub v4: f64,
}

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§v: f64§v1: f64§v2: f64§v3: f64§v4: f64

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impl VarianceJet

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pub fn bernoulli(mu: f64) -> Self

Bernoulli / binomial variance V(μ) = μ(1−μ).

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pub fn poisson(mu: f64) -> Self

Poisson variance V(μ) = μ.

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pub fn gamma(mu: f64) -> Self

Gamma variance V(μ) = μ².

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pub fn tweedie(mu: f64, p: f64) -> Self

Tweedie variance V(μ) = μ^p.

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pub fn negative_binomial(mu: f64, theta: f64) -> Self

Negative-binomial variance V(μ) = μ + μ² / theta.

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pub fn gaussian() -> Self

Gaussian (identity) variance V(μ) = 1.

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pub fn binomial_n(mu: f64) -> Self

Binomial(n, p) variance V(p) = p(1−p), identical to Bernoulli.

The trial count n enters as a prior-weight multiplier, not through the variance function itself.

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pub fn beta(mu: f64, phi: f64) -> Self

Beta-regression variance V(μ) = μ(1−μ)/(1+φ).

Auto Trait Implementations§

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impl UnwindSafe for VarianceJet

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fn rand<T>(&self, rng: &mut (impl Rng + ?Sized)) -> T
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Returns the argument unchanged.

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