gp.like.lambda: The likelihood of a Gaussian process used to initialize the...
In spatial.gev.bma: Hierarchical spatial generalized extreme value (GEV) modeling with Bayesian Model Averaging (BMA)
Description
Usage
Arguments
Value
Description
This is a utility that is used to initialize the lambda
parameter in a Gaussian process when initializing the entire spatial
GEV model. Its rather single service.
Usage
1
gp.like.lambda(lambda, alpha, tau, D)
Arguments
lambda
The lambda parameter
alpha
The alpha parmater of a gaussian process
tau
The vector of random effects
D
The distance matrix for the entries in tau
Value
The log density of the Gaussian process.
spatial.gev.bma documentation built on May 1, 2019, 6:34 p.m.
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Description Usage Arguments Value
Description
This is a utility that is used to initialize the lambda parameter in a Gaussian process when initializing the entire spatial GEV model. Its rather single service.
Usage
1 | gp.like.lambda(lambda, alpha, tau, D)
|
Arguments
lambda |
The lambda parameter |
alpha |
The alpha parmater of a gaussian process |
tau |
The vector of random effects |
D |
The distance matrix for the entries in tau |
Value
The log density of the Gaussian process.
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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