single_gauss: Gaussian covariance function (scalar)
In lcgodoy/smile: Spatial Misalignment: Interpolation, Linkage, and Estimation
single_gauss R Documentation
Gaussian covariance function (scalar)
Description
Computing the Gaussian covariance function for a single
distance measure.
Usage
single_gauss(d, sigsq, phi)
Arguments
d
a scalar representing the distance on which it is desired to
evaluate the covariance function.
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
a scalar representing the (gaussian) 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.
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| single_gauss | R Documentation |
Gaussian covariance function (scalar)
Description
Computing the Gaussian covariance function for a single distance measure.
Usage
single_gauss(d, sigsq, phi)
Arguments
d |
a scalar representing the distance on which it is desired to evaluate the covariance function. |
sigsq |
the |
phi |
the |
Value
a scalar representing the (gaussian) covariance between two
observations d apart of each other.
See Also
single_exp, single_matern,
single_matern3, single_matern5,
mat_cov
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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