CovFunction: CovFunction function
In bentaylor1/lgcp: Log-Gaussian Cox Process
Description
Usage
Arguments
Value
See Also
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
1
CovFunction(obj, ...)
Arguments
obj
an object
...
additional arguments
Value
method CovFunction
See Also
CovFunction.function, exponentialCovFct, RandomFieldsCovFct, SpikedExponentialCovFct
bentaylor1/lgcp documentation built on May 12, 2019, 2:09 p.m.
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Description Usage Arguments Value See Also
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
1 | 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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