gauss_cov: Computing the Gaussian covariance function for a single...
In lcgodoy/smile: Spatial Misalignment: Interpolation, Linkage, and Estimation
gauss_cov R Documentation
Computing the Gaussian covariance function for a single distance
measure.
Description
Computing the Gaussian covariance function for a single distance
measure.
Usage
gauss_cov(dists, sigsq, phi)
Arguments
dists
a numeric matrix representing the distance between spatial
entities.
sigsq
the \sigma^2 parameter from the Gaussian covariance
function.
phi
the \phi parameter from the Gaussian covariance function,
controls the range of the spatial dependence.
Value
The Gaussian covariance function (for a stationary and
isotropic process) associated with the provided distances (dists)
and the given set of parameters.
See Also
single_exp, single_matern
lcgodoy/smile documentation built on Nov. 20, 2024, 12:17 a.m.
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| gauss_cov | R Documentation |
Computing the Gaussian covariance function for a single distance measure.
Description
Computing the Gaussian covariance function for a single distance measure.
Usage
gauss_cov(dists, sigsq, phi)
Arguments
dists |
a numeric matrix representing the distance between spatial entities. |
sigsq |
the |
phi |
the |
Value
The Gaussian covariance function (for a stationary and
isotropic process) associated with the provided distances (dists)
and the given set of parameters.
See Also
single_exp, single_matern
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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