toral.cov.mat: toral.cov.mat function
In bentaylor1/lgcp: Log-Gaussian Cox Process
Description
Usage
Arguments
Value
Description
A function to compute the covariance matrix of a stationary process on a torus.
Usage
1
toral.cov.mat(xg, yg, sigma, phi, model, additionalparameters)
Arguments
xg
x grid
yg
y grid
sigma
spatial variability parameter
phi
spatial decay parameter
model
model for covariance, see ?CovarianceFct
additionalparameters
additional parameters for covariance structure
Value
circulant covariacne matrix
bentaylor1/lgcp documentation built on May 12, 2019, 2:09 p.m.
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Description Usage Arguments Value
Description
A function to compute the covariance matrix of a stationary process on a torus.
Usage
1 | toral.cov.mat(xg, yg, sigma, phi, model, additionalparameters)
|
Arguments
xg |
x grid |
yg |
y grid |
sigma |
spatial variability parameter |
phi |
spatial decay parameter |
model |
model for covariance, see ?CovarianceFct |
additionalparameters |
additional parameters for covariance structure |
Value
circulant covariacne matrix
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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