Description Usage Arguments Value Author(s)
This returns the first derivative of the posterior density of a spatial GEV model with respect to a random effect on the precision parameter. It is used in forming the Metropolis-Hastings update of this parameter.
1 | g.prime(tau, tau.hat, varsigma, xi, kappa.hat, eps)
|
tau |
Current value of the random effect |
tau.hat |
The conditional mean of the random effect given the others and the current Gaussian process parameters. |
varsigma |
The conditional variance of the random effect based on the Gaussian process parameters |
xi |
The current shape parameter for this location |
kappa.hat |
The linear part of the precision parameters |
eps |
The vector of residuals based on the observations at this site and the associated location parmeter |
A scalar giving the first derivative, which is used to form the Metropolis-Hasting update.
Alex Lenkoski <alex@nr.no>
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