l.prime: First derivative of a GP with respect to lambda
In NorskRegnesentral/SpatGEVBMA: Hierarchical spatial generalized extreme value (GEV) modeling with Bayesian Model Averaging (BMA)
l.prime R Documentation
First derivative of a GP with respect to lambda
Description
This internal function gives the first derivative of a GP
with respect to the parameter lambda
Usage
l.prime(tau, alpha, lambda, D, a, b)
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>
NorskRegnesentral/SpatGEVBMA documentation built on July 22, 2023, 9:59 a.m.
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| l.prime | R Documentation |
First derivative of a GP with respect to lambda
Description
This internal function gives the first derivative of a GP with respect to the parameter lambda
Usage
l.prime(tau, alpha, lambda, D, a, b)
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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