Gaussian

class superglm.Gaussian

Bases: object

Gaussian distribution. V(mu) = 1.

variance(

mu: NDArray,

) → NDArray

V(μ) = 1.

variance_derivative(

mu: NDArray,

) → NDArray

V’(μ) = 0.

variance_second_derivative(

mu: NDArray,

) → NDArray

V’’(μ) = 0. Wood (2011) Appendix D.

deviance_unit(

y: NDArray,

mu: NDArray,

) → NDArray

Gaussian unit deviance: (y - μ)^2.

log_likelihood(

y: NDArray,

mu: NDArray,

weights: NDArray,

phi: float = 1.0,

) → float

Gaussian log-likelihood with dispersion φ = σ².