GaussianPrior: GaussianPrior function
In bentaylor1/lgcp: Log-Gaussian Cox Process
Description
Usage
Arguments
Value
See Also
Examples
Description
A function to create a Gaussian prior.
Usage
1
GaussianPrior(mean, variance)
Arguments
mean
a vector of length 2 representing the mean.
variance
a 2x2 matrix representing the variance.
Value
an object of class LogGaussianPrior that can be passed to the function PriorSpec.
See Also
LogGaussianPrior, linkPriorSpec.list
Examples
1
## Not run: GaussianPrior(mean=rep(0,9),variance=diag(10^6,9))
bentaylor1/lgcp documentation built on May 12, 2019, 2:09 p.m.
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Description Usage Arguments Value See Also Examples
Description
A function to create a Gaussian prior.
Usage
1 | GaussianPrior(mean, variance)
|
Arguments
mean |
a vector of length 2 representing the mean. |
variance |
a 2x2 matrix representing the variance. |
Value
an object of class LogGaussianPrior that can be passed to the function PriorSpec.
See Also
LogGaussianPrior, linkPriorSpec.list
Examples
1 | ## Not run: GaussianPrior(mean=rep(0,9),variance=diag(10^6,9))
|
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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