aux_gauss: Mean of a (Gaussian) covariance function (Internal use)
In smile: Spatial Misalignment: Interpolation, Linkage, and Estimation
aux_gauss R Documentation
Mean of a (Gaussian) covariance function (Internal use)
Description
This is an auxilliary function for internal use. It helps to
numerically integrate a covariance function evaluated at a grid of points
within a polyigon and speed-up the computations.
Usage
aux_gauss(dist, sigsq, phi)
Arguments
sigsq
the σ^2 parameter from the Gaussian covariance
function.
phi
the φ parameter from the Gaussian covariance function,
controls the range of the spatial dependence.
dists
a numeric matrix representing the distance between spatial
entities.
Value
The mean of gauss_cov(dist, sigsq, phi).
smile documentation built on April 29, 2022, 9:05 a.m.
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| aux_gauss | R Documentation |
Mean of a (Gaussian) covariance function (Internal use)
Description
This is an auxilliary function for internal use. It helps to numerically integrate a covariance function evaluated at a grid of points within a polyigon and speed-up the computations.
Usage
aux_gauss(dist, sigsq, phi)
Arguments
sigsq |
the σ^2 parameter from the Gaussian covariance function. |
phi |
the φ parameter from the Gaussian covariance function, controls the range of the spatial dependence. |
dists |
a numeric matrix representing the distance between spatial entities. |
Value
The mean of gauss_cov(dist, sigsq, phi).
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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