l.prime: First derivative of a GP with respect to lambda
In spatial.gev.bma: Hierarchical spatial generalized extreme value (GEV) modeling with Bayesian Model Averaging (BMA)
Description
Usage
Arguments
Value
Author(s)
Description
This internal function gives the first derivative of a GP
with respect to the parameter lambda
Usage
1
Arguments
tau
The current vector of REs
alpha
The current overall variance of the process
lambda
The current value of lambda
D
The distance matrix
a
The first prior parameter for lambda
b
The second prior parameter for lambda
Value
A scalar giving the derivative
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 internal function gives the first derivative of a GP with respect to the parameter lambda
Usage
1 |
Arguments
tau |
The current vector of REs |
alpha |
The current overall variance of the process |
lambda |
The current value of lambda |
D |
The distance matrix |
a |
The first prior parameter for lambda |
b |
The second prior parameter for lambda |
Value
A scalar giving the derivative
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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