f.prime: First derivative of the posterior of a spatial GEV model with...

Description Usage Arguments Value Author(s)

View source: R/gev.R

Description

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.

Usage

1
f.prime(tau, tau.hat, varsigma, xi, kappa, R)

Arguments

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.

Value

A scalar giving the first derivative

Author(s)

Alex Lenkoski <[email protected]>


spatial.gev.bma documentation built on May 29, 2017, 9:10 a.m.