toral.cov.mat: toral.cov.mat function
In lgcp: Log-Gaussian Cox Process
toral.cov.mat R Documentation
toral.cov.mat function
Description
A function to compute the covariance matrix of a stationary process on a torus.
Usage
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
lgcp documentation built on Oct. 3, 2023, 5:08 p.m.
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| toral.cov.mat | R Documentation |
toral.cov.mat function
Description
A function to compute the covariance matrix of a stationary process on a torus.
Usage
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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