f.prime | R Documentation |
This internal function gives the first derivative of a spatial GEV model with respect to a random effect parameter in order to made a focused update of that variate.
f.prime(tau, tau.hat, varsigma, xi, kappa, R)
tau |
Current value of the random effect |
tau.hat |
Conditional mean of that random effect given the Gaussian process and the other random effects |
varsigma |
Conditional variance of the random effect given the Gaussian process |
xi |
Current shape parameter for that site |
kappa |
Current precision parameter for that site |
R |
Current vector of differences between the observations and the linear part of the location parameter at the site. |
A scalar giving the first derivative
Alex Lenkoski <alex@nr.no>
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