CovFunction: CovFunction function
In lgcp: Log-Gaussian Cox Process
View source: R/lgcpStructures.R
CovFunction R Documentation
CovFunction function
Description
A Generic method used to specify the choice of covariance function for use in the MCMC algorithm. For further details and examples,
see the vignette "Bayesian_lgcp".
Usage
CovFunction(obj, ...)
Arguments
obj
an object
...
additional arguments
Value
method CovFunction
See Also
CovFunction.function, exponentialCovFct, RandomFieldsCovFct, SpikedExponentialCovFct
lgcp documentation built on Aug. 25, 2025, 9:49 a.m.
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View source: R/lgcpStructures.R
| CovFunction | R Documentation |
CovFunction function
Description
A Generic method used to specify the choice of covariance function for use in the MCMC algorithm. For further details and examples, see the vignette "Bayesian_lgcp".
Usage
CovFunction(obj, ...)
Arguments
obj |
an object |
... |
additional arguments |
Value
method CovFunction
See Also
CovFunction.function, exponentialCovFct, RandomFieldsCovFct, SpikedExponentialCovFct
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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