single_pexp: Powered Exponential covariance function (scalar)

In lcgodoy/smile: Spatial Misalignment: Interpolation, Linkage, and Estimation

Powered Exponential covariance function (scalar)

Description

Computing the Powered Exponential covariance function for a single distance measure.

Usage

single_pexp(d, sigsq, phi, nu)

Arguments

d	a scalar representing the distance on which it is desired to evaluate the covariance function.
sigsq	the \sigma^2 parameter from the Exponential covariance function.
phi	the \phi parameter from the Exponential covariance function, controls the range of the spatial dependence.
nu	the \nu \in (0, 2] parameter representing the "power"

Value

a scalar representing the (exponential) covariance between two observations d apart of each other.

See Also

single_exp, single_matern, single_matern3, single_matern5, mat_cov

lcgodoy/smile documentation built on Nov. 20, 2024, 12:17 a.m.