j.double.prime: The second derivative of a spatial GEV with respect to a...
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 helps with the MCMC update of a RE
on the shape parameter
Usage
1
j.double.prime(tau, tau.hat, varsigma, kappa, xi.hat, eps)
Arguments
tau
Current value of the RE
tau.hat
Conditional mean given the GP
varsigma
Conditional variance given the GP
kappa
Current precision for this site
xi.hat
Linear part of the shape parameter
eps
The residuals between the observation and the location parameter at
this site
Value
A scalar giving the second 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 helps with the MCMC update of a RE on the shape parameter
Usage
1 | j.double.prime(tau, tau.hat, varsigma, kappa, xi.hat, eps)
|
Arguments
tau |
Current value of the RE |
tau.hat |
Conditional mean given the GP |
varsigma |
Conditional variance given the GP |
kappa |
Current precision for this site |
xi.hat |
Linear part of the shape parameter |
eps |
The residuals between the observation and the location parameter at this site |
Value
A scalar giving the second 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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