gev.update.lambda: Update the lambda parameter in a Gaussian Process
In spatial.gev.bma: Hierarchical spatial generalized extreme value (GEV) modeling with Bayesian Model Averaging (BMA)
Description
Usage
Arguments
Value
Author(s)
Description
This constructs a focused proposal to make a metropolis-hasting update
of the lambda parameter in a Gaussian process. It is agnostic to
which model component in the spatial GEV the GP belongs to.
Usage
1
gev.update.lambda(tau, alpha, lambda, D, a, b)
Arguments
tau
A vector of the random effects
alpha
The global precision of the Gaussian process
lambda
The current value of lambda
D
The matrix of distances between the points associated with the
vector tau
a
The parameter for the prior of lambda
b
The second parameter for the prior of lambda
Value
A scalar which is the updated value of lambda.
Author(s)
Alex Lenkoski <alex@nr.no>
spatial.gev.bma documentation built on May 1, 2019, 6:34 p.m.
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Description Usage Arguments Value Author(s)
Description
This constructs a focused proposal to make a metropolis-hasting update of the lambda parameter in a Gaussian process. It is agnostic to which model component in the spatial GEV the GP belongs to.
Usage
1 | gev.update.lambda(tau, alpha, lambda, D, a, b)
|
Arguments
tau |
A vector of the random effects |
alpha |
The global precision of the Gaussian process |
lambda |
The current value of lambda |
D |
The matrix of distances between the points associated with the vector tau |
a |
The parameter for the prior of lambda |
b |
The second parameter for the prior of lambda |
Value
A scalar which is the updated value of lambda.
Author(s)
Alex Lenkoski <alex@nr.no>
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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